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Statistical learning theory
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671	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2007-10-05 16:41:22 Statistical theory Multivariate statistics Statistical methods Cluster analysis Spatial epidemiology Bayesian inference Mixture model Regression analysis Bayes factor Statistics Spatial data analysis Machine learning
672	PDF Document Add to Reading List Source URL: portal.tugraz.at Language: English Statistical theory Bayesian inference Statistical forecasting Estimation theory Variational Bayesian methods Minimum description length Bayesian network One-shot learning Statistics Bayesian statistics Statistical inference
673	Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning Chang Kook Oh1; James L. Beck2; and Masumi Yamada3 Abstract: A novel method of Bayesian learning with automa Add to Reading List Source URL: www.eew.caltech.edu Language: English - Date: 2012-05-15 11:47:33 Bayesian inference Bayesian information criterion Model selection Kullback–Leibler divergence Naive Bayes classifier Covariance matrix Statistics Bayesian statistics Statistical theory
674	Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-08-11 09:41:23 Stochastic processes Statistical classification Statistical theory Parametric model Mixture model Dirichlet process Hidden Markov model Support vector machine Pattern recognition Statistics Statistical models Machine learning
675	Augmented Statistical Models for Classifying Sequence Data Martin Layton Corpus Christi College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-01-16 04:35:17 Statistical classification Machine learning Markov models Hidden Markov model Fisher kernel Generative model Expectation–maximization algorithm Mixture model Maximum likelihood Statistics Estimation theory Statistical models
676	Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-06-13 07:07:00 Stochastic processes Statistical classification Statistical theory Parametric model Mixture model Dirichlet process Hidden Markov model Support vector machine Pattern recognition Statistics Statistical models Machine learning
677	Bayesian Learning in Social Networks∗ Daron Acemoglu†, Munther A. Dahleh‡, Ilan Lobel§, and Asuman Ozdaglar¶ May 11, 2008 Abstract We study the (perfect Bayesian) equilibrium of a model of learning over a general Add to Reading List Source URL: www.cifar.ca Language: English - Date: 2014-02-19 11:23:22 Statistical theory Game theory Networks Network theory Bayesian game Arrival theorem Bayesian inference Network topology Social network Statistics Bayesian statistics Science
678	Discriminative Adaptive Training and Bayesian Inference for Speech Recognition Chandra Kant Raut University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-06-10 04:22:31 Machine learning Statistical models Statistical theory Hidden Markov model Speech recognition Expectation–maximization algorithm Maximum likelihood Bayesian network Variational Bayesian methods Statistics Estimation theory Bayesian statistics
679	Statistical Learning : stability is sufficient for generalization and necessary and sufficient for consistency of Empirical Risk Minimization Sayan Mukherjee †, Partha Niyogi⊥ , Tomaso Poggio†1 and Ryan Rifkin † Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2004-10-15 11:02:54 Learning Stability Statistics Leave one out error Computational learning theory Probability theory Empirical risk minimization Supervised learning Convergence of random variables Mathematics Mathematical analysis Machine learning
680	Discriminative Complexity Control and Linear Projections for Large Vocabulary Speech Recognition Xunying Liu Clare Hall Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:14:53 Statistical classification Computer accessibility Speech recognition Hidden Markov model Linear discriminant analysis Discriminative model Expectation–maximization algorithm Bayesian information criterion Normal distribution Statistics Estimation theory Machine learning

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