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Statistical learning theory
Results: 800

#	Item
231	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory
232	Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2004-06-24 11:16:08 Applied mathematics Linear classifier Ensemble learning Time complexity Support vector machine Algorithm Computational complexity theory Stability Boosting methods for object categorization Machine learning Statistics Statistical classification
233	Conditional Random Fields: An Introduction Hanna M. Wallach February 24, 2004 1 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:57:28 Probability theory Statistical theory Graphical models Bayesian statistics Machine learning Conditional random field Hidden Markov model Markov random field Information theory Statistics Probability and statistics Probability
234	Near-optimal Adaptive Pool-based Active Learning with General Loss Nguyen Viet Cuong Department of Computer Science National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 08:21:02 Statistical theory Entropy Pointwise Integral Matroid Mathematics Submodular set function Information theory
235	David M. Andrzejewski Recent professional experience Industry Spring 2014 to present Add to Reading List Source URL: www.david-andrzejewski.com Language: English - Date: 2014-02-18 09:56:14 Statistical natural language processing Topic model Natural language processing Information retrieval Data mining Madison Wisconsin Computational learning theory University of Wisconsin–Madison Machine learning Science Artificial intelligence
236	Microsoft PowerPoint - ART05 revised 0415.ppt Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:47 Statistical methods Machine learning Estimation theory Overfitting Linear regression Statistics Regression analysis Econometrics
237	COPYRIGHT NOTICE: Xavier Vives: Information and Learning in Markets is published by Princeton University Press and copyrighted, © 2008, by Princeton University Press. All rights reserved. No part of this book may be rep Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2008-04-16 10:46:36 Statistical theory Problem solving Economics Game theory General equilibrium theory Rational expectations
238	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-11-29 12:55:06 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
239	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-24 20:30:41 Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification
240	Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion Nguyen Viet Cuong Wee Sun Lee Nan Ye Department of Computer Science Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-12-27 04:21:58 Information theory Cybernetics Statistical inference Gibbs sampling Entropy Estimation theory Sequence labeling Statistics Machine learning Statistical theory

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