Accedi

Bibliografie tematiche / Kernel Inference / Tesi

Segui questo link per vedere altri tipi di pubblicazioni sul tema: Kernel Inference.

Tesi sul tema "Kernel Inference"

Autore: Grafiati

Pubblicato: 7 luglio 2024

Ultima modifica: 19 luglio 2025

Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili

Scegli il tipo di fonte:

Vedi i top-26 saggi (tesi di laurea o di dottorato) per l'attività di ricerca sul tema "Kernel Inference".

Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.

Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.

Vedi le tesi di molte aree scientifiche e compila una bibliografia corretta.

1

Fouchet, Arnaud. "Kernel methods for gene regulatory network inference." Thesis, Evry-Val d'Essonne, 2014. http://www.theses.fr/2014EVRY0058/document.

Testo completo

Abstract (sommario):

De nouvelles technologies, notamment les puces à adn, multiplient la quantité de données disponibles pour la biologie moléculaire. dans ce contexte, des méthodes informatiques et mathématiques sont activement développées pour extraire le plus d'information d'un grand nombre de données. en particulier, le problème d'inférence de réseaux de régulation génique a été abordé au moyen de multiples modèles mathématiques et statistiques, des plus basiques (corrélation, modèle booléen ou linéaire) aux plus sophistiqués (arbre de régression, modèles bayésiens avec variables cachées). malgré leurs qualit

Gli stili APA, Harvard, Vancouver, ISO e altri

2

Chan, Karen Pui-Shan. "Kernel density estimation, Bayesian inference and random effects model." Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/13350.

Testo completo

Abstract (sommario):

This thesis contains results of a study in kernel density estimation, Bayesian inference and random effects models, with application to forensic problems. Estimation of the Bayes' factor in a forensic science problem involved the derivation of predictive distributions in non-standard situations. The distribution of the values of a characteristic of interest among different items in forensic science problems is often non-Normal. Background, or training, data were available to assist in the estimation of the distribution for measurements on cat and dog hairs. An informative prior, based on the k

Gli stili APA, Harvard, Vancouver, ISO e altri

3

Araya, Valdivia Ernesto. "Kernel spectral learning and inference in random geometric graphs." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASM020.

Testo completo

Abstract (sommario):

Cette thèse comporte deux objectifs. Un premier objectif concerne l’étude des propriétés de concentration des matrices à noyau, qui sont fondamentales dans l’ensemble des méthodes à noyau. Le deuxième objectif repose quant à lui sur l’étude des problèmes d’inférence statistique dans le modèle des graphes aléatoires géométriques. Ces deux objectifs sont liés entre eux par le formalisme du graphon, qui permet représenter un graphe par un noyau. Nous rappelons les rudiments du modèle du graphon dans le premier chapitre. Le chapitre 2 présente des bornes précises pour les valeurs propres individue

Gli stili APA, Harvard, Vancouver, ISO e altri

4

Jitkrittum, Wittawat. "Kernel-based distribution features for statistical tests and Bayesian inference." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/10037987/.

Testo completo

Abstract (sommario):

The kernel mean embedding is known to provide a data representation which preserves full information of the data distribution. While typically computationally costly, its nonparametric nature has an advantage of requiring no explicit model specification of the data. At the other extreme are approaches which summarize data distributions into a finite-dimensional vector of hand-picked summary statistics. This explicit finite-dimensional representation offers a computationally cheaper alternative. Clearly, there is a trade-off between cost and sufficiency of the representation, and it is of inter

Gli stili APA, Harvard, Vancouver, ISO e altri

5

Hsu, Yuan-Shuo Kelvin. "Bayesian Perspectives on Conditional Kernel Mean Embeddings: Hyperparameter Learning and Probabilistic Inference." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24309.

Testo completo

Abstract (sommario):

This thesis presents the narrative of a particular journey towards discovering and developing Bayesian perspectives on conditional kernel mean embeddings. It is motivated by the desire and need to learn flexible and richer representations of conditional distributions for probabilistic inference in various contexts. While conditional kernel mean embeddings are able to achieve such representations, it is unclear how their hyperparameters can be learned for probabilistic inference in various settings. These hyperparameters govern the space of possible representations, and critically influence the

Gli stili APA, Harvard, Vancouver, ISO e altri

6

Adams, R. P. "Kernel methods for nonparametric Bayesian inference of probability densities and point processes." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595350.

Testo completo

Abstract (sommario):

I propose two new kernel-based models that enable an exact generative procedure: the Gaussian process density sampler (GPDS) for probability density functions, and the sigmoidal Gaussian Cox process (SGCP) for the Poisson process. With generative priors, I show how it is now possible to construct two different kinds of Markov chains for inference in these models. These Markov chains have the desired posterior distribution as their equilibrium distributions, and, despite a parameter space with uncountably many dimensions, require only a finite amount of computation to simulate. The GPDS and SGC

Gli stili APA, Harvard, Vancouver, ISO e altri

7

Gogolashvili, Davit. "Global and local Kernel methods for dataset shift, scalable inference and optimization." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS363v2.pdf.

Testo completo

Abstract (sommario):

Dans de nombreux problèmes du monde réel, les données de formation et les données de test ont des distributions différentes. Cette situation est communément appelée " décalage de l'ensemble de données ". Les paramètres les plus courants pour le décalage des ensembles de données souvent considérés dans la littérature sont le décalage des covariables et le décalage des cibles. Dans cette thèse, nous étudions les modèles nonparamétriques appliqués au scénario de changement d'ensemble de données. Nous développons un nouveau cadre pour accélérer la régression par processus gaussien. En particulier,

Gli stili APA, Harvard, Vancouver, ISO e altri

8

Maity, Arnab. "Efficient inference in general semiparametric regression models." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3075.

Testo completo

Gli stili APA, Harvard, Vancouver, ISO e altri

9

Minnier, Jessica. "Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10327.

Testo completo

Abstract (sommario):

Analysis of high dimensional data often seeks to identify a subset of important features and assess their effects on the outcome. Furthermore, the ultimate goal is often to build a prediction model with these features that accurately assesses risk for future subjects. Such statistical challenges arise in the study of genetic associations with health outcomes. However, accurate inference and prediction with genetic information remains challenging, in part due to the complexity in the genetic architecture of human health and disease. A valuable approach for improving prediction models with a lar

Gli stili APA, Harvard, Vancouver, ISO e altri

10

Weller, Jennifer N. "Bayesian Inference In Forecasting Volcanic Hazards: An Example From Armenia." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000485.

Testo completo

Gli stili APA, Harvard, Vancouver, ISO e altri

11

El, Ghouch Anouar. "Nonparametric statistical inference for dependent censored data." Université catholique de Louvain, 2007. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-09262007-123927/.

Testo completo

Abstract (sommario):

A frequent problem that appears in practical survival data analysis is censoring. A censored observation occurs when the observation of the event time (duration or survival time) may be prevented by the occurrence of an earlier competing event (censoring time). Censoring may be due to different causes. For example, the loss of some subjects under study, the end of the follow-up period, drop out or the termination of the study and the limitation in the sensitivity of a measurement instrument. The literature about censored data focuses on the i.i.d. case. However in many real applications the da

Gli stili APA, Harvard, Vancouver, ISO e altri

12

Razavian, Narges Sharif. "Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/340.

Testo completo

Abstract (sommario):

Generative models of protein structure enable researchers to predict the behavior of proteins under different conditions. Continuous graphical models are powerful and efficient tools for modeling static and dynamic distributions, which can be used for learning generative models of molecular dynamics. In this thesis, we develop new and improved continuous graphical models, to be used in modeling of protein structure. We first present von Mises graphical models, and develop consistent and efficient algorithms for sparse structure learning and parameter estimation, and inference. We compare our m

Gli stili APA, Harvard, Vancouver, ISO e altri

13

Boussaid, Haithem. "Efficient inference and learning in graphical models for multi-organ shape segmentation." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2015. http://www.theses.fr/2015ECAP0002/document.

Testo completo

Abstract (sommario):

Cette thèse explore l’utilisation des modèles de contours déformables pour la segmentation basée sur la forme des images médicales. Nous apportons des contributions sur deux fronts: dans le problème de l’apprentissage statistique, où le modèle est formé à partir d’un ensemble d’images annotées, et le problème de l’inférence, dont le but est de segmenter une image étant donnée un modèle. Nous démontrons le mérite de nos techniques sur une grande base d’images à rayons X, où nous obtenons des améliorations systématiques et des accélérations par rapport à la méthode de l’état de l’art. Concernant

Gli stili APA, Harvard, Vancouver, ISO e altri

14

Bon, Joshua J. "Advances in sequential Monte Carlo methods." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235897/1/Joshua%2BBon%2BThesis%284%29.pdf.

Testo completo

Abstract (sommario):

Estimating parameters of complex statistical models and their uncertainty from data is a challenging task in statistics and data science. This thesis developed novel statistical algorithms for efficiently performing statistical estimation, established the validity of these algorithms, and explored their properties with mathematical analysis. The new algorithms and their associated analysis are significant since they permit principled and robust fitting of statistical models that were previously intractable and will thus facilitate new scientific discoveries.

Gli stili APA, Harvard, Vancouver, ISO e altri

15

Priddle, Jacob William. "Efficient and flexible Bayesian synthetic likelihood via transformations." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205902/1/Jacob_Priddle_Thesis.pdf.

Testo completo

Abstract (sommario):

Simulator models are a type of stochastic model that is often used to approximate a real-life process. Current statistical methods for simulator models are computationally intensive, relying on a large number of model simulations. In this thesis, we develop new, efficient and flexible statistical methods that can be used for complex statistical models, such as simulator models. The new methods are theoretically justified and applied to a variety of simulated and real-life modelling scenarios from ecology and biology.

Gli stili APA, Harvard, Vancouver, ISO e altri

16

Jeunesse, Paulien. "Estimation non paramétrique du taux de mort dans un modèle de population générale : Théorie et applications. A new inference strategy for general population mortality tables Nonparametric adaptive inference of birth and death models in a large population limit Nonparametric inference of age-structured models in a large population limit with interactions, immigration and characteristics Nonparametric test of time dependance of age-structured models in a large population limit." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED013.

Testo completo

Abstract (sommario):

L’étude du taux de mortalité dans des modèles de population humaine ou en biologie est le cœur de ce travail. Cette thèse se situe à la frontière de la statistique des processus, de la statistique non-paramétrique et de l’analyse.Dans une première partie, centrée sur une problématique actuarielle, un algorithme est proposé pour estimer les tables de mortalité, utiles en assurance. Cet algorithme se base sur un modèle déterministe de population. Ces nouvelles estimations améliorent les résultats actuels en prenant en compte la dynamique globale de la population. Ainsi les naissances sont incorp

Gli stili APA, Harvard, Vancouver, ISO e altri

17

Verbyla, Petras. "Network inference using independence criteria." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277912.

Testo completo

Abstract (sommario):

Biological systems are driven by complex regulatory processes. Graphical models play a crucial role in the analysis and reconstruction of such processes. It is possible to derive regulatory models using network inference algorithms from high-throughput data, for example; from gene or protein expression data. A wide variety of network inference algorithms have been designed and implemented. Our aim is to explore the possibilities of using statistical independence criteria for biological network inference. The contributions of our work can be categorized into four sections. First, we provide a d

Gli stili APA, Harvard, Vancouver, ISO e altri

18

Massaroppe, Lucas. "Estimação da causalidade de Granger no caso de interação não-linear." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-20122016-083110/.

Testo completo

Abstract (sommario):

Esta tese examina o problema de detecção de conectividade entre séries temporais no sentido de Granger no caso em que a natureza não linear das interações não permite sua determinação por meio de modelos auto-regressivos lineares vetoriais. Mostra-se que é possível realizar esta detecção com auxílio dos chamados métodos de Kernel, que se tornaram populares em aprendizado por máquina (\'machine learning\') já que tais métodos permitem definir formas generalizadas de teste de Granger, coerência parcial direcionada e função de transferência direcionada. Usando simulações, mostram-se alguns exempl

Gli stili APA, Harvard, Vancouver, ISO e altri

19

Akcin, Haci Mustafa. "NONPARAMETRIC INFERENCES FOR THE HAZARD FUNCTION WITH RIGHT TRUNCATION." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/math_diss/12.

Testo completo

Abstract (sommario):

Incompleteness is a major feature of time-to-event data. As one type of incompleteness, truncation refers to the unobservability of the time-to-event variable because it is smaller (or greater) than the truncation variable. A truncated sample always involves left and right truncation. Left truncation has been studied extensively while right truncation has not received the same level of attention. In one of the earliest studies on right truncation, Lagakos et al. (1988) proposed to transform a right truncated variable to a left truncated variable and then apply existing methods to the transform

Gli stili APA, Harvard, Vancouver, ISO e altri

20

Semolini, Robinson. "Support vector machines, inferencia transdutiva e o problema de classificação." [s.n.], 2002. http://repositorio.unicamp.br/jspui/handle/REPOSIP/262026.

Testo completo

Abstract (sommario):

Orientador: Fernando Jose Von Zuben<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-02T22:45:22Z (GMT). No. of bitstreams: 1 Semolini_Robinson_M.pdf: 2460751 bytes, checksum: ebce4f71a94df85c3c47c496d4feae2a (MD5) Previous issue date: 2002<br>Mestrado

Gli stili APA, Harvard, Vancouver, ISO e altri

21

Dumora, Christophe. "Estimation de paramètres clés liés à la gestion d'un réseau de distribution d'eau potable : Méthode d'inférence sur les noeuds d'un graphe." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0325.

Testo completo

Abstract (sommario):

L'essor des données générées par les capteurs et par les outils opérationnels autour de la gestion des réseaux d'alimentation en eau potable (AEP) rendent ces systèmes de plus en plus complexes et de façon générale les événements plus difficiles à appréhender. L'historique de données lié à la qualité de l’eau distribuée croisé avec la connaissance du patrimoine réseau, des données contextuelles et des paramètres temporels amène à étudier un système complexe de par sa volumétrie et l'existence d'interactions entre ces différentes données de natures diverses pouvant varier dans le temps et l’esp

Gli stili APA, Harvard, Vancouver, ISO e altri

22

Allain, Cédric. "Temporal point processes and scalable convolutional dictionary learning : a unified framework for m/eeg signal analysis in neuroscience." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG008.

Testo completo

Abstract (sommario):

Dans le domaine de l'imagerie cérébrale non invasive, la magnéto- et l'électroencéphalographie (M/EEG) offrent un précieux aperçu des activités neuronales. Les données enregistrées consistent en des séries temporelles multivariées qui fournissent des informations sur les processus cognitifs et sont souvent complétées par des détails auxiliaires liés au paradigme expérimental, tels que l'horodatage des stimuli externes ou des actions entreprises par les sujets. En outre, l'ensemble des données peut inclure des enregistrements de plusieurs sujets, ce qui facilite les analyses en population.Cette

Gli stili APA, Harvard, Vancouver, ISO e altri

23

Song, Song. "Confidence bands in quantile regression and generalized dynamic semiparametric factor models." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2010. http://dx.doi.org/10.18452/16341.

Testo completo

Abstract (sommario):

In vielen Anwendungen ist es notwendig, die stochastische Schwankungen der maximalen Abweichungen der nichtparametrischen Schätzer von Quantil zu wissen, zB um die verschiedene parametrische Modelle zu überprüfen. Einheitliche Konfidenzbänder sind daher für nichtparametrische Quantil Schätzungen der Regressionsfunktionen gebaut. Die erste Methode basiert auf der starken Approximation der empirischen Verfahren und Extremwert-Theorie. Die starke gleichmäßige Konsistenz liegt auch unter allgemeinen Bedingungen etabliert. Die zweite Methode beruht auf der Bootstrap Resampling-Verfahren. Es ist bew

Gli stili APA, Harvard, Vancouver, ISO e altri

24

Pawlowski, Filip igor. "High-performance dense tensor and sparse matrix kernels for machine learning." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN081.

Testo completo

Abstract (sommario):

Dans cette thèse, nous développons des algorithmes à haute performance pour certains calculs impliquant des tenseurs denses et des matrices éparses. Nous abordons les opérations du noyau qui sont utiles pour les tâches d'apprentissage de la machine, telles que l'inférence avec les réseaux neuronaux profonds. Nous développons des structures de données et des techniques pour réduire l'utilisation de la mémoire, pour améliorer la localisation des données et donc pour améliorer la réutilisation du cache des opérations du noyau. Nous concevons des algorithmes parallèles à mémoire séquentielle et à

Gli stili APA, Harvard, Vancouver, ISO e altri

25

Chang, Chia-Hung, and 張嘉宏. "Design of an Inference Accelerator for CNN with Sparse Row-wise Kernel." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vgqj7n.

Testo completo

Gli stili APA, Harvard, Vancouver, ISO e altri

26

Su, Wanhua. "Efficient Kernel Methods for Statistical Detection." Thesis, 2008. http://hdl.handle.net/10012/3598.

Testo completo

Abstract (sommario):

This research is motivated by a drug discovery problem -- the AIDS anti-viral database from the National Cancer Institute. The objective of the study is to develop effective statistical methods to model the relationship between the chemical structure of a compound and its activity against the HIV-1 virus. And as a result, the structure-activity model can be used to predict the activity of new compounds and thus helps identify those active chemical compounds that can be used as drug candidates. Since active compounds are generally rare in a compound library, we recognize the drug discovery prob

Gli stili APA, Harvard, Vancouver, ISO e altri

Offriamo sconti su tutti i piani premium per gli autori le cui opere sono incluse in raccolte letterarie tematiche. Contattaci per ottenere un codice promozionale unico!