Relevant bibliographies by topics / Latent block models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Latent block models'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Latent block models"

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Wyse, Jason, and Nial Friel. "Block clustering with collapsed latent block models." Statistics and Computing 22, no. 2 (2011): 415–28. http://dx.doi.org/10.1007/s11222-011-9233-4.

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Bartolucci, Francesco, Silvia Pandolfi, and Fulvia Pennoni. "Discrete Latent Variable Models." Annual Review of Statistics and Its Application 9, no. 1 (2022): 425–52. http://dx.doi.org/10.1146/annurev-statistics-040220-091910.

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We review the discrete latent variable approach, which is very popular in statistics and related fields. It allows us to formulate interpretable and flexible models that can be used to analyze complex datasets in the presence of articulated dependence structures among variables. Specific models including discrete latent variables are illustrated, such as finite mixture, latent class, hidden Markov, and stochastic block models. Algorithms for maximum likelihood and Bayesian estimation of these models are reviewed, focusing, in particular, on the expectation–maximization algorithm and the Markov
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Watanabe, Chihiro, and Taiji Suzuki. "Goodness-of-fit test for latent block models." Computational Statistics & Data Analysis 154 (February 2021): 107090. http://dx.doi.org/10.1016/j.csda.2020.107090.

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Norget, Julia, and Axel Mayer. "Block-Wise Model Fit for Structural Equation Models With Experience Sampling Data." Zeitschrift für Psychologie 230, no. 1 (2022): 47–59. http://dx.doi.org/10.1027/2151-2604/a000482.

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Abstract. Common model fit indices behave poorly in structural equation models for experience sampling data which typically contain many manifest variables. In this article, we propose a block-wise fit assessment for large models as an alternative. The entire model is estimated jointly, and block-wise versions of common fit indices are then determined from smaller blocks of the variance-covariance matrix using simulated degrees of freedom. In a first simulation study, we show that block-wise fit indices, contrary to global fit indices, correctly identify correctly specified latent state-trait
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Moron-Lopez, Sara, Sushama Telwatte, Indra Sarabia, et al. "Human splice factors contribute to latent HIV infection in primary cell models and blood CD4+ T cells from ART-treated individuals." PLOS Pathogens 16, no. 11 (2020): e1009060. http://dx.doi.org/10.1371/journal.ppat.1009060.

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It is unclear what mechanisms govern latent HIV infection in vivo or in primary cell models. To investigate these questions, we compared the HIV and cellular transcription profile in three primary cell models and peripheral CD4+ T cells from HIV-infected ART-suppressed individuals using RT-ddPCR and RNA-seq. All primary cell models recapitulated the block to HIV multiple splicing seen in cells from ART-suppressed individuals, suggesting that this may be a key feature of HIV latency in primary CD4+ T cells. Blocks to HIV transcriptional initiation and elongation were observed more variably amon
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Mariadassou, Mahendra, and Catherine Matias. "Convergence of the groups posterior distribution in latent or stochastic block models." Bernoulli 21, no. 1 (2015): 537–73. http://dx.doi.org/10.3150/13-bej579.

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SANTOS, Naiara Caroline Aparecido dos, and Jorge Luiz BAZÁN. "RESIDUAL ANALYSIS IN RASCH POISSON COUNTS MODELS." REVISTA BRASILEIRA DE BIOMETRIA 39, no. 1 (2021): 206–20. http://dx.doi.org/10.28951/rbb.v39i1.531.

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A Rasch Poisson counts (RPC) model is described to identify individual latent traits and facilities of the items of tests that model the error (or success) count in several tasks over time, instead of modeling the correct responses to items in a test as in the dichotomous item response theory (IRT) model. These types of tests can be more informative than traditional tests. To estimate the model parameters, we consider a Bayesian approach using the integrated nested Laplace approximation (INLA). We develop residual analysis to assess model t by introducing randomized quantile residuals for item
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Kihal-Talantikite, Wahida, Pauline Le Nouveau, Pierre Legendre, et al. "Adverse Birth Outcomes as Indicators of Poor Fetal Growth Conditions in a French Newborn Population—A Stratified Analysis by Neighborhood Deprivation Level." International Journal of Environmental Research and Public Health 16, no. 21 (2019): 4069. http://dx.doi.org/10.3390/ijerph16214069.

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Background: Adverse birth outcomes are related to unfavorable fetal growth conditions. A latent variable, named Favorable Fetal Growth Condition (FFGC), has been defined by Bollen et al., in 2013; he showed that this FFGC latent variable mediates the effects of maternal characteristics on several birth outcomes. Objectives: The objectives of the present study were to replicate Bollen’s approach in a population of newborns in Paris and to investigate the potential differential effect of the FFGC latent variable according to the neighborhood socioeconomic level. Methods: Newborn health data were
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Xie, Fangzheng, and Yanxun Xu. "Optimal Bayesian estimation for random dot product graphs." Biometrika 107, no. 4 (2020): 875–89. http://dx.doi.org/10.1093/biomet/asaa031.

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Summary We propose and prove the optimality of a Bayesian approach for estimating the latent positions in random dot product graphs, which we call posterior spectral embedding. Unlike classical spectral-based adjacency, or Laplacian spectral embedding, posterior spectral embedding is a fully likelihood-based graph estimation method that takes advantage of the Bernoulli likelihood information of the observed adjacency matrix. We develop a minimax lower bound for estimating the latent positions, and show that posterior spectral embedding achieves this lower bound in the following two senses: it
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Gong, Shiqi, Peiyan Hu, Qi Meng, et al. "Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (2023): 7740–47. http://dx.doi.org/10.1609/aaai.v37i6.25938.

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Stochastic partial differential equations (SPDEs) are crucial for modelling dynamics with randomness in many areas including economics, physics, and atmospheric sciences. Recently, using deep learning approaches to learn the PDE solution for accelerating PDE simulation becomes increasingly popular. However, SPDEs have two unique properties that require new design on the models. First, the model to approximate the solution of SPDE should be generalizable over both initial conditions and the random sampled forcing term. Second, the random forcing terms usually have poor regularity whose statisti
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Dissertations / Theses on the topic "Latent block models"

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Corneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.

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Cette thèse porte sur l’analyse de graphes dynamiques, définis en temps discret ou continu. Nous introduisons une nouvelle extension dynamique du modèle a blocs stochastiques (SBM), appelée dSBM, qui utilise des processus de Poisson non homogènes pour modéliser les interactions parmi les paires de nœuds d’un graphe dynamique. Les fonctions d’intensité des processus ne dépendent que des classes des nœuds comme dans SBM. De plus, ces fonctions d’intensité ont des propriétés de régularité sur des intervalles temporels qui sont à estimer, et à l’intérieur desquels les processus de Poisson redevien
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Febrissy, Mickaël. "Nonnegative Matrix Factorization and Probabilistic Models : A unified framework for text data." Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1291.

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Depuis l’avènement du Big data, les techniques de réduction de la dimension sont devenues essentielles pour l’exploration et l’analyse de données hautement dimensionnelles issues de nombreux domaines scientifiques. En créant un espace à faible dimension intrinsèque à l’espace de données original, ces techniques offrent une meilleure compréhension dans de nombreuses applications de la science des données. Dans le contexte de l’analyse de textes où les données recueillies sont principalement non négatives, les techniques couramment utilisées produisant des transformations dans l’espace des nombr
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Galindo-Prieto, Beatriz. "Novel variable influence on projection (VIP) methods in OPLS, O2PLS, and OnPLS models for single- and multi-block variable selection : VIPOPLS, VIPO2PLS, and MB-VIOP methods." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-130579.

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Multivariate and multiblock data analysis involves useful methodologies for analyzing large data sets in chemistry, biology, psychology, economics, sensory science, and industrial processes; among these methodologies, partial least squares (PLS) and orthogonal projections to latent structures (OPLS®) have become popular. Due to the increasingly computerized instrumentation, a data set can consist of thousands of input variables which contain latent information valuable for research and industrial purposes. When analyzing a large number of data sets (blocks) simultaneously, the number of variab
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Robert, Valérie. "Classification croisée pour l'analyse de bases de données de grandes dimensions de pharmacovigilance." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS111/document.

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Cette thèse regroupe des contributions méthodologiques à l'analyse statistique des bases de données de pharmacovigilance. Les difficultés de modélisation de ces données résident dans le fait qu'elles produisent des matrices souvent creuses et de grandes dimensions. La première partie des travaux de cette thèse porte sur la classification croisée du tableau de contingence de pharmacovigilance à l’aide du modèle des blocs latents de Poisson normalisé. L'objectif de la classification est d'une part de fournir aux pharmacologues des zones intéressantes plus réduites à explorer de manière plus préc
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Brault, Vincent. "Estimation et sélection de modèle pour le modèle des blocs latents." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112238/document.

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Le but de la classification est de partager des ensembles de données en sous-ensembles les plus homogènes possibles, c'est-à-dire que les membres d'une classe doivent plus se ressembler entre eux qu'aux membres des autres classes. Le problème se complique lorsque le statisticien souhaite définir des groupes à la fois sur les individus et sur les variables. Le modèle des blocs latents définit une loi pour chaque croisement de classe d'objets et de classe de variables, et les observations sont supposées indépendantes conditionnellement au choix de ces classes. Toutefois, il est impossible de fac
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Tami, Myriam. "Approche EM pour modèles multi-blocs à facteurs à une équation structurelle." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT303/document.

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Les modèles d'équations structurelles à variables latentes permettent de modéliser des relations entre des variables observables et non observables. Les deux paradigmes actuels d'estimation de ces modèles sont les méthodes de moindres carrés partiels sur composantes et l'analyse de la structure de covariance. Dans ce travail, après avoir décrit les deux principales méthodes d'estimation que sont PLS et LISREL, nous proposons une approche d'estimation fondée sur la maximisation par algorithme EM de la vraisemblance globale d'un modèle à facteurs latents et à une équation structurelle. Nous en é
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Laclau, Charlotte. "Hard and fuzzy block clustering algorithms for high dimensional data." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB014.

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Notre capacité grandissante à collecter et stocker des données a fait de l'apprentissage non supervisé un outil indispensable qui permet la découverte de structures et de modèles sous-jacents aux données, sans avoir à \étiqueter les individus manuellement. Parmi les différentes approches proposées pour aborder ce type de problème, le clustering est très certainement le plus répandu. Le clustering suppose que chaque groupe, également appelé cluster, est distribué autour d'un centre défini en fonction des valeurs qu'il prend pour l'ensemble des variables. Cependant, dans certaines applications d
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Laclau, Charlotte. "Hard and fuzzy block clustering algorithms for high dimensional data." Electronic Thesis or Diss., Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB014.

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Notre capacité grandissante à collecter et stocker des données a fait de l'apprentissage non supervisé un outil indispensable qui permet la découverte de structures et de modèles sous-jacents aux données, sans avoir à \étiqueter les individus manuellement. Parmi les différentes approches proposées pour aborder ce type de problème, le clustering est très certainement le plus répandu. Le clustering suppose que chaque groupe, également appelé cluster, est distribué autour d'un centre défini en fonction des valeurs qu'il prend pour l'ensemble des variables. Cependant, dans certaines applications d
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Schmutz, Amandine. "Contributions à l'analyse de données fonctionnelles multivariées, application à l'étude de la locomotion du cheval de sport." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1241.

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Avec l'essor des objets connectés pour fournir un suivi systématique, objectif et fiable aux sportifs et à leur entraineur, de plus en plus de paramètres sont collectés pour un même individu. Une alternative aux méthodes d'évaluation en laboratoire est l'utilisation de capteurs inertiels qui permettent de suivre la performance sans l'entraver, sans limite d'espace et sans procédure d'initialisation fastidieuse. Les données collectées par ces capteurs peuvent être vues comme des données fonctionnelles multivariées : se sont des entités quantitatives évoluant au cours du temps de façon simultané
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Ben, slimen Yosra. "Knowledge extraction from huge volume of heterogeneous data for an automated radio network management." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2046.

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En vue d’aider les opérateurs mobiles avec la gestion de leurs réseaux d’accès radio, trois modèles sont proposés. Le premier modèle est une approche supervisée pour une prévention des anomalies. Son objectif est de détecter les dysfonctionnements futurs d’un ensemble de cellules en observant les indicateurs clés de performance considérés comme des données fonctionnelles. Par conséquent, en alertant les ingénieurs et les réseaux auto-organisés, les opérateurs mobiles peuvent être sauvés d’une dégradation de performance de leurs réseaux. Le modèle a prouvé son efficacité avec une application su
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Books on the topic "Latent block models"

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Fedorov, Viktor, and Mihail San'kov. Management: theory and practice. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1859086.

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The textbook presents the most important aspects of the theory and practice of modern management in a concise and accessible form. The section "Management Theory" is accompanied by questions and tasks for self-control, topics of abstracts and reports, as well as a list of additional literary sources for self-study. The section "Management Practice" contains test methods, practical tasks for individual and collective work of students, business situations for analysis, discussion and management decision-making.
 The manual additionally includes a block of self-test tasks and a glossary that
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Efremov, German. Modeling of chemical and technological processes. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090526.

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In an accessible form, the textbook presents the theoretical foundations of physical and mathematical modeling; considers the modeling of mass, heat and momentum transfer processes, the relationship and analogy between them; studies the theory of similarity, its application in modeling, models of the structure of flows in apparatuses. Experimental-statistical and experimental-analytical modeling methods are also described, which include "black box" methods, planning passive, active full and fractional factor experiments, and adjusting models based on the results of the experiment. At the same
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Kuz'mina, Natal'ya. Criminology and crime prevention. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1900600.

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The textbook presents modern material on all sections of the discipline "Criminology and crime prevention".
 The content of the teachings on crime and its causes, the identity of the criminal, the mechanism of committing a specific crime is revealed. The characteristics of the current state of certain types of crime using qualitative and quantitative criminological indicators are given. The problems of carrying out criminological research in the modern period are analyzed using a broad empirical base (including data from criminal law statistics).
 The section "Crime prevention System
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From the Norman Conquest to the Black Death: An anthology of writings from England. Oxford University Press, 2011.

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The Black campus movement: Black students and the racial reconstitution of higher education, 1965-1972. Palgrave Macmillan, 2012.

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1941-, Schumacher Ulrich, Lotz Rouven, and Emil Schumacher Museum, eds. Karel Appel: Der abstrakte Blick. Emil Schumacher Museum Hagen, 2016.

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Rankine, Patrice D. Ulysses in Black: Ralph Ellison, classicism, and African American literature. University of Wisconsin Press, 2007.

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Succi, Sauro. Lattice Boltzmann Models without Underlying Boolean Microdynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0013.

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Chapter 12 showed how to circumvent two major stumbling blocks of the LGCA approach: statistical noise and exponential complexity of the collision rule. Yet, the ensuing LB still remains connected to low Reynolds flows, due to the low collisionality of the underlying LGCA rules. The high-viscosity barrier was broken just a few months later, when it was realized how to devise LB models top-down, i.e., based on the macroscopic hydrodynamic target, rather than bottom-up, from underlying microdynamics. Most importantly, besides breaking the low-Reynolds barrier, the top-down approach has proven ve
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Palomäki, Outi, and Petri Volmanen. Alternative neural blocks for labour analgesia. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0018.

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Although neuraxial analgesia is available to the majority of parturients in developed countries, alternative neural blocks for labour analgesia are needed for medical, individual, and institutional reasons. Paracervical and pudendal blocks are usually administered transvaginally by an obstetrician. An injection of 0.25% bupivacaine using a superficial technique into the lateral fornixes gives rapid pain relief and has been found to have no negative effect on either fetal oxygenation, or maternal and neonatal outcomes. Low rates of post-analgesic bradycardia and high rates of spontaneous vagina
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Hoffnung-Garskof, Jesse E. Racial Migrations. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691183534.001.0001.

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In the late nineteenth century, a small group of Cubans and Puerto Ricans of African descent settled in the segregated tenements of New York City. At an immigrant educational society in Greenwich Village, these early Afro-Latino New Yorkers taught themselves to be poets, journalists, and revolutionaries. At the same time, these individuals built a political network and articulated an ideal of revolutionary nationalism centered on the projects of racial and social justice. These efforts were critical to the poet and diplomat José Martí's writings about race and his bid for leadership among Cuba
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Book chapters on the topic "Latent block models"

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Boutalbi, Rafika, Lazhar Labiod, and Mohamed Nadif. "Latent Block Regression Model." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_9.

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AbstractWhen dealing with high dimensional sparse data, such as in recommender systems,co-clusteringturnsouttobemorebeneficialthanone-sidedclustering,even if one is interested in clustering along one dimension only. Thereby, co-clusterwise is a natural extension of clusterwise. Unfortunately, all of the existing approaches do not consider covariates on both dimensions of a data matrix. In this paper, we propose a Latent Block Regression Model (LBRM) overcoming this limit. For inference, we propose an algorithm performing simultaneously co-clustering and regression where a linear regression model characterizes each block. Placing the estimate of the model parameters under the maximum likelihood approach, we derive a Variational Expectation–Maximization (VEM) algorithm for estimating the model’s parameters. The finality of the proposed VEM-LBRM is illustrated through simulated datasets.
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Khoufache, Reda, Anisse Belhadj, Hanene Azzag, and Mustapha Lebbah. "Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model." In Advances in Knowledge Discovery and Data Mining. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2242-6_22.

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Lücke, Jörg, Zhenwen Dai, and Georgios Exarchakis. "Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Models." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93764-9_43.

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Guarino, Stefano, Enrico Mastrostefano, and Davide Torre. "The Hyperbolic Geometric Block Model and Networks with Latent and Explicit Geometries." In Complex Networks and Their Applications XI. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21131-7_9.

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Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, and Jose Crossa Hiriart. "Generalized Linear Mixed Models for Repeated Measurements." In Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32800-8_9.

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AbstractRepeated measures data, also known as longitudinal data, are those derived from experiments in which observations are made on the same experimental units at various planned times. These experiments can be of the regression or analysis of variance (ANOVA) type, can contain two or more treatments, and are set up using familiar designs, such as CRD (Completely Randomized design), randomized complete block design (RCBD), or randomized incomplete blocks, if blocking is appropriate, or using row and column designs such as Latin squares when appropriate. Repeated measures designs are widely used in the biological sciences and are fairly well understood for normally distributed data but less so with binary, ordinal, count data, and so on. Nevertheless, recent developments in statistical computing methodology and software have greatly increased the number of tools available for analyzing categorical data.
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Osborne, Martin J., and Ariel Rubinstein. "Choice." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.02.

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Osborne, Martin J., and Ariel Rubinstein. "Choice." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.02.

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Banaś, Monika. "Women's “Black Protest” in Poland." In Protest in Late Modern Societies. Routledge, 2023. http://dx.doi.org/10.4324/9781003270065-9.

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Marchello, Giulia, Marco Corneli, and Charles Bouveyron. "A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices." In Machine Learning and Knowledge Discovery in Databases: Research Track. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43412-9_41.

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Lampridis, Orestis, Riccardo Guidotti, and Salvatore Ruggieri. "Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars." In Discovery Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_24.

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Abstract We present xspells, a model-agnostic local approach for explaining the decisions of a black box model for sentiment classification of short texts. The explanations provided consist of a set of exemplar sentences and a set of counter-exemplar sentences. The former are examples classified by the black box with the same label as the text to explain. The latter are examples classified with a different label (a form of counter-factuals). Both are close in meaning to the text to explain, and both are meaningful sentences – albeit they are synthetically generated. xspells generates neighbors of the text to explain in a latent space using Variational Autoencoders for encoding text and decoding latent instances. A decision tree is learned from randomly generated neighbors, and used to drive the selection of the exemplars and counter-exemplars. We report experiments on two datasets showing that xspells outperforms the well-known lime method in terms of quality of explanations, fidelity, and usefulness, and that is comparable to it in terms of stability.
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Conference papers on the topic "Latent block models"

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Li, Changsheng, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, and Guoren Wang. "On Deep Unsupervised Active Learning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/364.

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Unsupervised active learning has attracted increasing attention in recent years, where its goal is to select representative samples in an unsupervised setting for human annotating. Most existing works are based on shallow linear models by assuming that each sample can be well approximated by the span (i.e., the set of all linear combinations) of certain selected samples, and then take these selected samples as representative ones to label. However, in practice, the data do not necessarily conform to linear models, and how to model nonlinearity of data often becomes the key point to success. In
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Zhu, Feida, Junwei Zhu, Wenqing Chu, et al. "HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/244.

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We propose HifiHead, a high fidelity neural talking head synthesis method, which can well preserve the source image's appearance and control the motion (e.g., pose, expression, gaze) flexibly with 3D morphable face models (3DMMs) parameters derived from a driving image or indicated by users. Existing head synthesis works mainly focus on low-resolution inputs. Instead, we exploit the powerful generative prior embedded in StyleGAN to achieve high-quality head synthesis and editing. Specifically, we first extract the source image's appearance and driving image's motion to construct 3D face descri
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Rywik, Marcin, Axel Zimmermann, Alexander J. Eder, Edoardo Scoletta, and Wolfgang Polifke. "Spatially Resolved Modeling of the Nonlinear Dynamics of a Laminar Premixed Flame With a Multilayer Perceptron - Convolution Autoencoder Network." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-102543.

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Abstract This work presents a multilayer perceptron-convolutional autoencoder (MLP-CAE) neural network model, which accurately predicts the two-dimensional flame field dynamics of an acoustically excited premixed laminar flame. The obtained architecture maps the acoustic perturbation time series to a spatially distributed heat release rate field, capturing the flame lengths and shapes. This extends to previous neural network models, which predicted only the field-integrated value of the heat release rate. The MLP-CAE comprises two sub-models: a fully connected MLP and a CAE. The key idea behin
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Cao, Bingyi, Kenneth A. Ross, Martha A. Kim, and Stephen A. Edwards. "Implementing latency-insensitive dataflow blocks." In 2015 ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE). IEEE, 2015. http://dx.doi.org/10.1109/memcod.2015.7340485.

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Ailem, Melissa, Francois Role, and Mohamed Nadif. "Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract)." In 2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018. http://dx.doi.org/10.1109/icde.2018.00229.

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Lomet, Aurore, Gerard Govaert, and Yves Grandvalet. "An Approximation of the Integrated Classification Likelihood for the Latent Block Model." In 2012 IEEE 12th International Conference on Data Mining Workshops. IEEE, 2012. http://dx.doi.org/10.1109/icdmw.2012.32.

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Shahiri, Mohammad, and Mahdi Eskandari. "Exact Recovery of Two-Latent Variable Stochastic Block Model with Side Information." In 2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM). IEEE, 2021. http://dx.doi.org/10.1109/iccitm53167.2021.9677645.

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Schindler, Miguel Horacio. "Phase Envelopes From Black-Oil Models." In Latin American & Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106855-ms.

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Bishop, M., X. Moonan, W. Lalla, and L. Anderson. "Another Look at Bovallius, Onshore Southern Basin Trinidad." In SPE Latin American and Caribbean Petroleum Engineering Conference. SPE, 2023. http://dx.doi.org/10.2118/213174-ms.

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Abstract The Bovallius field, located in the southeastern part of Trinidad is bordered to the west by the Balata East block and to the south by the Ortoire block. The field spans approximately 942 acres with six wells drilled in the block to date, the first well being drilled in 1954. Regionally the Bovallius field occurs on trend with a WSW plunging, SE verging thrusted anticlinal system. The major tectonic features within the Bovallius field consists of the eastern extension of the Balata anticline which is truncated by several NE-SW trending thrust faults, several NW-SE trending normal faul
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Doersch, Stefan, Maria Starnberg, and Haike Brick. "Acoustic Certification of New Composite Brake Blocks." In EuroBrake 2021. FISITA, 2021. http://dx.doi.org/10.46720/1766833eb2021-stp-022.

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In the latest amendment to the TSI Noise, the Commission Implementing Regulation (EU) 2019/774 from year 2019 (TSI NOI EU 2019/774, 2019), the term “quieter brake blocks” was introduced. The purpose was to distinguish between brake blocks that cause a high rolling noise level by roughening the surface of the wheels and quieter brake blocks with acoustic properties that better correspond to the pass-by noise limit for freight wagons. However, it has remained an open point which methods and procedures should be used for the assessment of the acoustic properties of new brake blocks. This open poi
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Reports on the topic "Latent block models"

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Chronopoulos, Ilias, Katerina Chrysikou, George Kapetanios, James Mitchell, and Aristeidis Raftapostolos. Deep Neural Network Estimation in Panel Data Models. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202315.

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In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, building on the work of Farrell et al. (2021), and explore latent patterns in the cross-section. We use the proposed estimators to forecast the progression of new COVID-19 cases across the G7 countries during the pandemic. We find significant forecasting gains over both linear panel and nonlinear time-series models. Containment or lockdown policies, as instigated at the national level by governments,
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Zagorevski, A., and C. R. van Staal. Cordilleran magmatism in Yukon and northern British Columbia: characteristics, temporal variations, and significance for the tectonic evolution of the northern Cordillera. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/326063.

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Geochemical and temporal characterization of magmatic rocks is an effective way to test terrane definitions and to evaluate tectonic models. In the northern Cordillera, magmatic episodes are mostly interpreted as products of continental arc and back-arc settings. Re-evaluation of Paleozoic and Late Mesozoic magmatic episodes presented herein highlights fundamental gaps in the understanding of the tectonic framework of the northern Cordillera. In many cases, the character of magmatism and temporal relationships between various magma types do not support existing tectonic models. The present re-
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Sentcоv, Valentin, Andrei Reutov, and Vyacheslav Kuzmin. Electronic training manual "Acute poisoning with alcohols and alcohol-containing liquids". SIB-Expertise, 2024. http://dx.doi.org/10.12731/er0778.29012024.

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In the structure of acute poisonings, ethanol poisoning currently accounts, according to various sources, from 10 to 20%. The mortality rate in poison control centers for ethanol poisoning is 1-2%, but the mortality rate is much higher due to those who died before medical care was provided. The widespread use of methanol and ethylene glycol in various industries and the high mortality rate with late recognition of poisoning with these alcohols determine the high relevance of a detailed study of the clinic, diagnosis and treatment of these poisonings by doctors of various specialties. In partic
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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This syst
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Chejanovsky, Nor, and Suzanne M. Thiem. Isolation of Baculoviruses with Expanded Spectrum of Action against Lepidopteran Pests. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7586457.bard.

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Our long-term goal is to learn to control (expand and restrict) the host range of baculoviruses. In this project our aim was to expand the host range of the prototype baculovirus Autographa cali/arnica nuclear polyhedrosis virus (AcMNPV) towards American and Israeli pests. To achieve this objective we studied AcMNPV infection in the non-permissive hosts L. dispar and s. littoralis (Ld652Y and SL2 cells, respectively) as a model system and the major barriers to viral replication. We isolated recombinant baculoviruses with expanded infectivity towards L. dispar and S. littoralis and tested their
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Karacic, Almir, and Anneli Adler. Fertilization of poplar plantations with dried sludge : a demonstration trial in Hillebola - central Sweden. Department of Crop Production Ecology, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.2q9iahfphk.

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Wastewater sludge contains essential nutrients for plant growth and is frequently used as fertilizer in European agriculture. Sludge contains elevated concentrations of heavy metals, microplastics, and other substances that may pose potential risks to human health and the environment. Nevertheless, dried pelletized sludge emerges as a viable product for fertilizing short-rotation poplar plantations within a circular model, enabling nutrient recycling and converting waste into a valuable resource to enhance biomass production for different markets. In Hillebola, central Sweden, we demonstrated
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Meir, Shimon, Michael Reid, Cai-Zhong Jiang, Amnon Lers, and Sonia Philosoph-Hadas. Molecular Studies of Postharvest Leaf and Flower Abscission. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7696523.bard.

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Original objectives: Understanding the regulation of abscission competence by exploring the nature and function of auxin-related gene expression changes in the leaf and pedicelAZs of tomato (as a model system), was the main goal of the previously submitted proposal. We proposed to achieve this goal by using microarray GeneChip analysis, to identify potential target genes for functional analysis by virus-induced gene silencing (VIGS). To increase the potential of accomplishing the objectives of the previously submitted proposal, we were asked by BARD to show feasibility for the use of these two
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Harris, L. B., P. Adiban, and E. Gloaguen. The role of enigmatic deep crustal and upper mantle structures on Au and magmatic Ni-Cu-PGE-Cr mineralization in the Superior Province. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328984.

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Aeromagnetic and ground gravity data for the Canadian Superior Province, filtered to extract long wavelength components and converted to pseudo-gravity, highlight deep, N-S trending regional-scale, rectilinear faults and margins to discrete, competent mafic or felsic granulite blocks (i.e. at high angles to most regional mapped structures and sub-province boundaries) with little to no surface expression that are spatially associated with lode ('orogenic') Au and Ni-Cu-PGE-Cr occurrences. Statistical and machine learning analysis of the Red Lake-Stormy Lake region in the W Superior Province con
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Community involvement in reproductive health: Findings from research in Karnataka, India. Population Council, 2004. http://dx.doi.org/10.31899/rh17.1007.

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In 1996, the government of India decided to provide a package of reproductive and child health services through the existing family welfare program, adopting a community needs assessment approach (CNAA). To implement this approach, the government abolished its practice of setting contraceptive targets centrally and introduced a decentralized planning strategy whereby health workers assessed the reproductive health needs of women in their respective areas and prepared local plans to meet those needs. They also involved community leaders to promote community participation in the reproductive and
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