Bibliografías temáticas / Hierarchical variables

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Literatura académica sobre el tema "Hierarchical variables"

Autor: Grafiati

Publicado: 7 de julio de 2024

Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Hierarchical variables"

Shneiberg, I. Ya. "Hierarchical Sequences of Random Variables." Theory of Probability & Its Applications 31, no. 1 (1987): 137–41. http://dx.doi.org/10.1137/1131018.

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Yoshimura, Masataka, and Kazuhiro Izui. "Smart Optimization of Machine Systems Using Hierarchical Genotype Representations." Journal of Mechanical Design 124, no. 3 (2002): 375–84. http://dx.doi.org/10.1115/1.1486013.

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Design problems for machine products are generally hierarchically expressed. With conventional product optimization methods, however, it is difficult to concurrently optimize all design variables of portions within such hierarchical structures. This paper proposes a design optimization method using genetic algorithms containing hierarchical genotype representations, so that the hierarchical structures of machine system designs are exactly expressed through genotype coding, and optimization can be concurrently conducted for all of the hierarchical structures. Crossover and mutation operations f

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Lopera Gonzalez, Luis I., and Oliver Amft. "Mining hierarchical relations in building management variables." Pervasive and Mobile Computing 26 (February 2016): 91–101. http://dx.doi.org/10.1016/j.pmcj.2015.10.009.

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Camiz, S., J. Denimal, and V. Pillar. "Hierarchical factor classification of variables in ecology." Community Ecology 7, no. 2 (2006): 165–79. http://dx.doi.org/10.1556/comec.7.2006.2.4.

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Wang, Jie, and Xiao Dong Zhu. "Analysis and Application of a Kind of Hierarchical Fuzzy Systems." Advanced Materials Research 219-220 (March 2011): 1097–100. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1097.

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In this paper a kind of hierarchical fuzzy systems was introduced. The characteristics and structural relation of this hierarchical fuzzy system were analyzed. The sensitivity between the input variables and the output variables and the position of variables in the hierarchical fuzzy system were given according to the importance of variables. The weight coefficient of variables was confirmed applying the methods of analytic hierarchical process (AHP). Then the structural analysis and the weight coefficient were applied to the forewarning system of oil drilling.

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Pulido-Valdeolivas, I., D. Gómez-Andrés, J. A. Martin, J. López, E. Gómez-Barrena, and E. Rausell. "P6.14 Hierarchical clustering of Gillette Gait Index variables." Clinical Neurophysiology 122 (June 2011): S87. http://dx.doi.org/10.1016/s1388-2457(11)60303-9.

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Kristan, William B. "Sources and Expectations for Hierarchical Structure in Bird-habitat Associations." Condor 108, no. 1 (2006): 5–12. http://dx.doi.org/10.1093/condor/108.1.5.

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Abstract Hierarchical structure in bird-habitat associations can arise from hierarchical structure in environmental variables and from the scale-dependent responses of birds to habitat. Hierarchical structure in environmental variables is expected to result from interactions between variables that differ in grain size (spatial resolution) and frequency, and should occur commonly. Birds cannot accurately sample habitat characteristics at all spatial scales simultaneously, and the habitat chosen for a given purpose may differ depending on whether a bird samples from high above the ground (which

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Xia, Lu, Meihua Yang, Lang Li, and Xin Zhang. "Aerodynamic Design Based on Global Sensitivity Analysis Method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (2018): 49–56. http://dx.doi.org/10.1051/jnwpu/20183610049.

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To deal with the problem of the difficult optimization search and expensive computational cost caused by large-scale design variables, the hierarchical optimization design system based on the global sensitivity analysis method is established in this paper. The M-OAT method is used to analyze the global sensitivity of the design variables, according to the sensitivity information to layer design variables, then optimize the design variables in each hierarchy. Through the study of the hierarchical optimization design of airfoils and wings, compared with the normal parameter optimization design s

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JIA, WEIJIA, and ZHIBIN SUN. "ON COMPUTATIONAL COMPLEXITY OF HIERARCHICAL OPTIMIZATION." International Journal of Foundations of Computer Science 13, no. 05 (2002): 667–70. http://dx.doi.org/10.1142/s0129054102001369.

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In this work, the computational complexity of a hierarchic optimization problem involving in several players is studied. Each player is assigned with a linear objective function. The set of variables is partitioned such that each subset corresponds to one player as its decision variables. All the players jointly make a decision on the values of these variables such that a set of linear constraints should be satisfied. One special player, called the leader, makes decision on its decision variables before of all the other players. The rest, after learnt of the decision of the leader, make their

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Fukuda, Toshio, Yasuhisa Hasegawa, and Koji Shimojima. "Structure Organization of Hierarchical Fuzzy Model Using Genetic Algorithm." Journal of Robotics and Mechatronics 7, no. 1 (1995): 29–35. http://dx.doi.org/10.20965/jrm.1995.p0029.

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This paper proposes a method to organize the hierarchical structure of fuzzy model using the Genetic Algorithm and back-propagation method. The number of fuzzy rules increases exponentially with the number of input variables. Thus, a fuzzy system with many input variables has an extremely large number of fuzzy rules. Hierarchical structure of fuzzy reasoning is one of the methods to reduce the number of fuzzy rules and membership functions. However, it is very difficult to organize the hierarchical structure because the hierarchical structure cannot be constructed without considering the relat

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Tesis sobre el tema "Hierarchical variables"

Auyang, Arick Gin-Yu. "Robustness and hierarchical control of performance variables through coordination during human locomotion." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/42837.

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The kinematic motor redundancy of the human legs provides more local degrees of freedom than are necessary to achieve low degree of freedom performance variables like leg length and orientation. The purpose of this dissertation is to investigate how the neuromuscular skeletal system simplifies control of a kinematically redundant system to achieve stable locomotion under different conditions. I propose that the neuromuscular skeletal system minimizes step to step variance of leg length and orientation while allowing segment angles to vary within the set of acceptable combinations of angles tha

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RIGGI, DANIELE. "Mixture factor model for hierarchical data structure and applications to the italian educational school system." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19465.

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Nowadays, the educational context is one of the most important and interesting applicative field of social science. The object of interest is often the relation between student ability and motivation. In the context of social science the multilevel structure and the latent variable models are often encountered. In this work, we present an extension of the multilevel mixture factor models (MMFM) (Riggi & Vermunt, in press, 2011 ; Varriale & Vermunt, in press, 2009), with an application to the Italian school system. These models are a combination of Factor Analysis and Latent Class. The purpose

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Chastaing, Gaëlle. "Indices de Sobol généralisés par variables dépendantes." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM046.

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Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfois en très grand nombre, peuvent être à l'origine d'une importante variabilité de la sortie. L'analyse de sensibilité globale est une approche stochastique permettant de repérer les principales sources d'incertitude du modèle, c'est-à-dire d'identifier et de hiérarchiser les variables d'entrée les plus influentes. De cette manière, il est possible de réduire la dimension d'un problème, et de diminuer l'incertitude des entrées. Les indices de Sobol, dont la construction repose sur une décompositio

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Pfister, Mark. "Distribution of a Sum of Random Variables when the Sample Size is a Poisson Distribution." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3459.

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A probability distribution is a statistical function that describes the probability of possible outcomes in an experiment or occurrence. There are many different probability distributions that give the probability of an event happening, given some sample size n. An important question in statistics is to determine the distribution of the sum of independent random variables when the sample size n is fixed. For example, it is known that the sum of n independent Bernoulli random variables with success probability p is a Binomial distribution with parameters n and p: However, this is not true when

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Hay, John Leslie. "Statistical modelling for non-Gaussian time series data with explanatory variables." Thesis, Queensland University of Technology, 1999.

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Gebremeskel, Haftu Gebrehiwot. "Implementing hierarchical bayesian model to fertility data: the case of Ethiopia." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424458.

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Background: Ethiopia is a country with 9 ethnically-based administrative regions and 2 city administrations, often cited, among other things, with high fertility rates and rapid population growth rate. Despite the country’s effort in their reduction, they still remain high, especially at regional-level. To this end, the study of fertility in Ethiopia, particularly on its regions, where fertility variation and its repercussion are at boiling point, is paramount important. An easy way of finding different characteristics of a fertility distribution is to build a suitable model of fertility patte

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Gardiner, Robert B. "The relationship between teacher qualifications and chemistry achievement in the context of other student and teacher/school variables : application of hierarchical linear modelling /." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0003/MQ42384.pdf.

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Han, Gang. "Modeling the output from computer experiments having quantitative and qualitative input variables and its applications." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1228326460.

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Saves, Paul. "High dimensional multidisciplinary design optimization for eco-design aircraft." Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0002.

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De nos jours, un intérêt significatif et croissant pour améliorer les processus de conception de véhicules s'observe dans le domaine de l'optimisation multidisciplinaire grâce au développement de nouveaux outils et de nouvelles techniques. Concrètement, en conception aérostructure, les variables aérodynamiques et structurelles s'influencent mutuellement et ont un effet conjoint sur des quantités d'intérêt telles que le poids ou la consommation de carburant. L'optimisation multidisciplinaire se présente alors comme un outil puissant pouvant effectuer des compromis interdisciplinaires.Dans le ca

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Guin, Ophélie. "Méthodes bayésiennes semi-paramétriques d'extraction et de sélection de variables dans le cadre de la dendroclimatologie." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00636704.

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Selon le Groupe Intergouvernemental d'experts sur l'Évolution du Climat (GIEC), il est important de connaitre le climat passé afin de replacer le changement climatique actuel dans son contexte. Ainsi, de nombreux chercheurs ont travaillé à l'établissement de procédures permettant de reconstituer les températures ou les précipitations passées à l'aide d'indicateurs climatiques indirects. Ces procédures sont généralement basées sur des méthodes statistiques mais l'estimation des incertitudes associées à ces reconstructions reste une difficulté majeure. L'objectif principal de cette thèse est don

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Libros sobre el tema "Hierarchical variables"

Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluati

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Hierarchical Modelling of Discrete Longitudinal Data: Applications of Markov Chain Monte Carlo. Herbert Witz Verlag, Wissenschaft, 1997.

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Lee, Patricia, Donald Stewart, and Stephen Clift. Group Singing and Quality of Life. Edited by Brydie-Leigh Bartleet and Lee Higgins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190219505.013.22.

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International research has broadly reported positive effects of singing on health. Choral singing, a social activity, can contribute to health and social and emotional well-being through enhancing individual and social variables, such as a sense of motivation, personal worth, concentration, and social engagement. This cross-sectional study aimed to establish a quantitative model to explain how multiple attributes of choral singing interact to impact on different dimensions of health and well-being. Using data from an Australian subsample within a multinational project, the results, from a seri

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Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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Cemgil, A. Taylan, Simon Godsill, Paul Peeling, and Nick Whiteley. Bayesian statistical methods for audio and music processing. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.25.

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This article focuses on the use of Bayesian statistical methods in audio and music processing in the context of an application to multipitch audio and determining a musical ‘score’ representation that includes pitch and time duration summary for a musical extract (the so-called ‘piano-roll’ representation of music). It first provides an overview of mainstream applications of audio signal processing, the properties of musical audio, superposition and how to address it using the Bayesian approach, and the principal challenges facing audio processing. It then considers the fundamental audio proce

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Sobczyk, Eugeniusz Jacek. Uciążliwość eksploatacji złóż węgla kamiennego wynikająca z warunków geologicznych i górniczych. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN, 2022. http://dx.doi.org/10.33223/onermin/0222.

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Hard coal mining is characterised by features that pose numerous challenges to its current operations and cause strategic and operational problems in planning its development. The most important of these include the high capital intensity of mining investment projects and the dynamically changing environment in which the sector operates, while the long-term role of the sector is dependent on factors originating at both national and international level. At the same time, the conditions for coal mining are deteriorating, the resources more readily available in active mines are being exhausted, m

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Capítulos de libros sobre el tema "Hierarchical variables"

Ilić, Marija D., and Shell Liu. "Structural Modeling and Control Design Using Interaction Variables." In Hierarchical Power Systems Control. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-3461-9_4.

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Azbel, Mark Ya. "Non-Separable Variables: Hierarchical Quantization and Tunneling Resonances." In Quantum Coherence in Mesoscopic Systems. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3698-1_39.

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Abdesselam, Rafik. "A Topological Clustering of Individuals." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_1.

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AbstractThe clustering of objects-individuals is one of the most widely used approaches to exploring multidimensional data. The two common unsupervised clustering strategies are Hierarchical Ascending Clustering (HAC) and k-means partitioning used to identify groups of similar objects in a dataset to divide it into homogeneous groups. The proposed Topological Clustering of Individuals, or TCI, studies a homogeneous set of individual rows of a data table, based on the notion of neighborhood graphs; the columns-variables are more-or-less correlated or linked according to whether the variable is

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Bickel, Peter J., Ya’acov Ritov, and Alexandre B. Tsybakov. "Hierarchical selection of variables in sparse high-dimensional regression." In Institute of Mathematical Statistics Collections. Institute of Mathematical Statistics, 2010. http://dx.doi.org/10.1214/10-imscoll605.

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Hengst, Bernhard. "Generating Hierarchical Structure in Reinforcement Learning from State Variables." In PRICAI 2000 Topics in Artificial Intelligence. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44533-1_54.

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Dale, Angela, Sara Arber, and Michael Procter. "The Derivation of Variables Using Household-Based Hierarchical Data." In Doing Secondary Analysis. Routledge, 2025. https://doi.org/10.4324/9781003632467-10.

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da Silva, Ana Lorga, Helena Bacelar-Nicolau, and Gilbert Saporta. "Missing Data in Hierarchical Classification of Variables — a Simulation Study." In Classification, Clustering, and Data Analysis. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8_13.

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Tanioka, Kensuke, and Hiroshi Yadohisa. "Three-Mode Hierarchical Subspace Clustering with Noise Variables and Occasions." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01264-3_8.

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Bonales Valencia, Joel, and Odette Virginia Delfín Ortega. "Hierarchical Structure of Variables in Export Agribusiness: The Case of Michoacan." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30433-0_15.

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Mahr, Florian. "Grid-side Characteristics and V/I-Control of VSCs." In Control and Protection of 100% Inverter-based Power Systems. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-47217-7_5.

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Abstract This chapter presents the grid-side characteristics and the voltage/current (V/I) control of voltage source converters (VSCs). In Sec. 5.1, the hierarchical control structure of VSCs and the functional chain to realize desired grid-side characteristics are explained. After discussing possible options of grid-side characteristics in a generalized symmetrical components equivalent circuit, the calculation of reference variables is presented in Sec. 5.2.

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Actas de conferencias sobre el tema "Hierarchical variables"

Pham, Thuan, and Xingpeng Li. "Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061754.

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Hu, Yujie, Lingyu Zhu, Han Gong, and Xi Chen. "Data-Driven Dynamic Process Modeling Using Temporal RNN Incorporating Output Variable Autocorrelation and Stacked Autoencoder." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.150053.

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Dynamic process modeling in process industries has been extensively studied, especially with the development of deep learning techniques. Recurrent neural networks (RNN) and stacked autoencoders (SAE) are two powerful tools for dynamic modeling and data processing. However, most existing research primarily focuses on extracting features from process input data, often neglecting the temporal autocorrelation of output variables. In this work, a hierarchical model based on time-series RNN structure is proposed. The upper layer employs a long short-term memory (LSTM) network to extract temporal fe

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Emese, Bernath (Vincze) Anna. "THE INFLUENCE OF FAMILY VIOLENCE EXPERIENCED IN CHILDHOOD ON YOUNG ADULT ALCOHOL AND RISK OF DRUG USE: FINDINGS FROM A NATIONWIDE STUDY." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s06/37.

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Background: Childhood maltreatment (including sexual abuse, physical abuse, and neglect) is a significant risk factor for substance use and drug-related problems in adolescents and young adulthood. Objective: This study aimed to examine the associations between social support, forms of abuse experienced in childhood, and subsequent alcohol and drug use in young adulthood. Method: Data were drawn from a large-scale, nationally representative longitudinal sample of N=1,497. Hierarchical and logistic regressions were used to estimate the predictive effect of family violence, controlling for sever

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Srinivasan, Sridhar, and D. Kane Russell. "Prediction of Corrosivity of CO2/H2S Production Environments." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96011.

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Abstract One of the most fundamental issues in current day corrosion research is assessment of corrosion rates in steels and determination of corrosivity of typical operating environments in oil and gas production. Such an assessment requires an understanding of the role of primary environmental and metallurgical variables and underlying mechanisms of corrosion. This paper presents a novel hierarchical approach to assess system corrosivity and prediction of corrosion rates in carbon steels in production environments containing CO2 and/or H2S. Critical environmental parameters that influence sy

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de Soto, Adolfo R. "Hierarchical Linguistic Variables." In NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2009. http://dx.doi.org/10.1109/nafips.2009.5156432.

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Yoshimura, Masataka, and Kazuhiro Izui. "Smart Optimization of Machine Systems Using Hierarchical Genotype Representations." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8631.

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Abstract Design problems for machine products are generally hierarchically expressed. With conventional product optimization methods, it is difficult to concurrently optimize all design variables of portions within the hierarchical structure. This paper proposes a design optimization method using genetic algorithms containing hierarchical genotype representations, so that the hierarchical structures of machine system designs are exactly expressed through genotype coding, and optimization can be concurrently conducted for all of the hierarchical structures. Crossover and mutation operations for

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Yoshimura, Masataka, and Kazuhiro Izui. "Global System Optimization Using Hierarchical Genetic Algorithms Based on Decision-Making Components." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21075.

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Abstract The efficient, optimized manufacture of sophisticated products largely depends upon a globally optimized design and manufacturing solution. Ideally, the decision-making tools independently used within various enterprise divisions, such as design and manufacturing, should be integrated, and all decisions made should take into account the goal of global optimization of the entire system. This paper proposes an integrated global optimization technique especially suited to systems consisting of multiple divisions. Each division’s decision-making tools are transformed into components, the

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Chen, Zhengming, Feng Xie, Jie Qiao, Zhifeng Hao, and Ruichu Cai. "Some General Identification Results for Linear Latent Hierarchical Causal Structure." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/397.

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We study the problem of learning hierarchical causal structure among latent variables from measured variables. While some existing methods are able to recover the latent hierarchical causal structure, they mostly suffer from restricted assumptions, including the tree-structured graph constraint, no ``triangle" structure, and non-Gaussian assumptions. In this paper, we relax these restrictions above and consider a more general and challenging scenario where the beyond tree-structured graph, the ``triangle" structure, and the arbitrary noise distribution are allowed. We investigate the identifia

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Jayasimha, D. N. "Partially shared variables and hierarchical shared memory multiprocessor architectures." In Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]. IEEE, 1992. http://dx.doi.org/10.1109/pccc.1992.200539.

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Silva, Eliana Costa e., Isabel Cristina Lopes, Aldina Correia, and A. Manuela Gonçalves. "Hierarchical clusters of phytoplankton variables in dammed water bodies." In APPLIED MATHEMATICS AND COMPUTER SCIENCE: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. Author(s), 2017. http://dx.doi.org/10.1063/1.4981978.

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Informes sobre el tema "Hierarchical variables"

Chamberlain, Gary, and Guido Imbens. Hierarchical Bayes Models with Many Instrumental Variables. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/t0204.

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Zhang, Zhen. From CFA to SEM with Moderated Mediation in Mplus. Instats Inc., 2022. http://dx.doi.org/10.61700/e6lwwzg27rqsr469.

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This seminar introduces the Mplus latent variable modeling framework and explores measurement models including bi-factor and hierarchical factor models and scale reliability in CFA, as well as SEMs with latent variable interactions (moderation), indirect effects (mediation), latent conditional indirect effects (moderated mediation), and latent instrumental variable methods in an framework (IV-SEM).

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Zyphur, Michael. From CFA to SEM with Moderated Mediation in R. Instats Inc., 2022. http://dx.doi.org/10.61700/75sjvfs0ve1d4469.

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This seminar introduces the Lavaan latent variable modeling framework and explores measurement models including bi-factor and hierarchical factor models and scale reliability in CFA, as well as SEMs with latent variable interactions (moderation), indirect effects (mediation), latent conditional indirect effects (moderated mediation), and latent instrumental variable methods in an SEM framework (IV-SEM). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent point.

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Zyphur, Michael. From CFA to SEM with Moderated Mediation in Mplus. Instats Inc., 2022. http://dx.doi.org/10.61700/a6tru90pc9miu469.

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Zyphur, Michael. From CFA to SEM with Moderated Mediation in R (Free On-Demand Seminar). Instats Inc., 2022. http://dx.doi.org/10.61700/xria1if8u3nip469.

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Zyphur, Michael. Intermediate SEM in Stata: From CFA to SEM. Instats Inc., 2022. http://dx.doi.org/10.61700/9qo0ssbbzp4nl469.

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This seminar introduces the Stata ‘sem’ latent variable modeling framework and explores measurement models including bi-factor and hierarchical factor models and scale reliability in CFA, as well as SEMs with latent variable interactions (moderation), indirect effects (mediation), latent conditional indirect effects (moderated mediation), and latent instrumental variable methods in an SEM framework (IV-SEM). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, each seminar offers 2 ECTS Equivalent points.

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Swan, Megan, and Christopher Calvo. Site characterization and change over time in semi-arid grassland and shrublands at three parks?Chaco Culture National Historic Park, Petrified Forest National Park, and Wupatki National Monument: Upland vegetation and soils monitoring 2007?2021. National Park Service, 2024. http://dx.doi.org/10.36967/2301582.

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This report presents results of upland vegetation and soil monitoring of semi-arid grasslands at three Parks by the Southern Colorado Plateau Inventory and Monitoring Network (SCPN) from 2007?2021. The purpose is to compare and contrast five grassland ecological sites and examine how they have changed during the first 15 years of monitoring. Crews collected data on composition and abundance of vegetation, both at the species level and by lifeform (e.g., perennial grass, shrub, forb) and soil aggregate stability and soil texture at 150 plots within five target grassland/shrubland communities de

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Sudhivoraseth, Jitraporn. Policy evaluation on promotion projects implemented by the Public Relations Department's Regional Offices. National Institute of Development Administration ; Chulalongkorn University, 2002. https://doi.org/10.58837/chula.res.2002.21.

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This research aims to study the achievement or failure of the promotion projects implemented by the Public Relations Department’s Regional Offices. The objectives of this study are two fold. First, to evaluate the three promotion projects: Democracy Promotion Project, Drug Prevention and Solution Promotion Project, and AIDS Prevention and Solution Promotion Project under the Action Plan of the Public Relations Department, fiscal year 2000. Second, to investigate the factors relating to the achievements or failures of these three promotion projects under study. The conceptual framework is devel

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McPhedran, R., K. Patel, B. Toombs, et al. Food allergen communication in businesses feasibility trial. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.

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Background: Clear allergen communication in food business operators (FBOs) has been shown to have a positive impact on customers’ perceptions of businesses (Barnett et al., 2013). However, the precise size and nature of this effect is not known: there is a paucity of quantitative evidence in this area, particularly in the form of randomised controlled trials (RCTs). The Food Standards Agency (FSA), in collaboration with Kantar’s Behavioural Practice, conducted a feasibility trial to investigate whether a randomised cluster trial – involving the proactive communication of allergen information a

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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave

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