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Statistical learning theory
Results: 800

#	Item
481	On the Use of Variational Inference for Learning Discrete Graphical Models Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-06-07 09:59:35 M-estimators Belief propagation Coding theory Sufficient statistic Normal distribution Completeness Statistics Statistical theory Estimation theory
482	Map-Reduce for Machine Learning on Multicore Cheng-Tao Chu ∗ [removed] Sang Kyun Kim ∗ [removed] Add to Reading List Source URL: www.jaso.co.kr Language: English - Date: 2014-02-28 05:22:29 Multivariate statistics Learning Statistical classification Expectation–maximization algorithm Support vector machine Principal component analysis Machine learning Algorithm Time complexity Statistics Regression analysis Estimation theory
483	Test-size Reduction via Sparse Factor Analysis Divyanshu Vats Christoph Studer Andrew S. Lan Add to Reading List Source URL: dsp.rice.edu Language: English - Date: 2014-04-13 15:17:14 Education Educational psychology Item response theory Rasch model Question Normal distribution Confidence-based learning Theories of second-language acquisition Statistics Psychometrics Statistical models
484	Differentially-private Learning and Information Theory Darakhshan Mir Department of Computer Science Rutgers University NJ, USA Add to Reading List Source URL: www.edbt.org Language: English - Date: 2012-02-01 18:26:38 Data privacy Estimation theory Differential privacy Loss function Exponential mechanism Kullback–Leibler divergence Linear regression Confidence interval Exponential distribution Statistics Econometrics Statistical theory
485	Learning for Stereo Vision Using the Structured Support Vector Machine Yunpeng Li Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-04-04 16:14:59 Statistical inference Statistical classification Statistical models Loss function Parametric model Maximum likelihood Support vector machine Expectation–maximization algorithm Supervised learning Statistics Statistical theory Estimation theory
486	UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-04 04:24:23 Model selection Regression analysis Statistical methods Statistical inference Linear regression Akaike information criterion Machine learning Bayesian inference Bayes factor Statistics Statistical theory Econometrics
487	Report from Dagstuhl Perpectives Workshop[removed]Machine Learning Methods for Computer Security Edited by Anthony D. Joseph1 , Pavel Laskov2 , Fabio Roli3 , J. Doug Tygar4 , Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2013-02-07 09:54:29 Learning Data mining Statistical classification Learning classifier system Computational learning theory Adversary Machine learning Artificial intelligence Computational statistics
488	Extracting Moving People from Internet Videos Juan Carlos Niebles1,2 , Bohyung Han3 , Andras Ferencz3 , and Li Fei-Fei1 1 3 Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:56:28 Data analysis Image processing Statistical inference Cluster analysis Mixture model Segmentation Normal distribution Estimation theory Belief propagation Statistics Probability and statistics Machine learning
489	Exploiting Within-Clique Factorizations in Junction-Tree Algorithms Julian McAuley, Tib´erio Caetano Statistical Machine Learning Program, NICTA Research School of Information Sciences and Engineering, Australian Nation Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-11-17 21:55:06 Graph operations Probability theory Theoretical computer science Tree decomposition Belief propagation Clique Algorithm Graph theory Mathematics Graphical models
490	Evidence-Specific Structures for Rich Tractable CRFs Carlos Guestrin Carnegie Mellon University [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2010-12-02 01:46:24 Mathematics Machine learning Theoretical computer science Statistical models Networks Conditional random field Tree decomposition Bayesian network Expectation–maximization algorithm Statistics Graphical models Graph theory

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