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Conditional entropy
Results: 70

#	Item
31	422 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. Add to Reading List Source URL: world.std.com Language: English - Date: 2014-09-18 21:28:16 Mathematics Probability theory Statistical theory Theory of computation Computability theory Entropy Conditional probability Expected value Computable number Information theory Statistics Theoretical computer science
32	Table Extraction Using Conditional Random Fields David Pinto, Andrew McCallum, Xing Wei, W. Bruce Croft Center for Intelligent Information Retrieval University of Massachusetts Amherst 140 Governors Drive Amherst, MA 010 Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2003-05-21 08:52:53 Data management Computing Machine learning Conditional random field Theoretical computer science Information extraction Table cell Table Maximum-entropy Markov model Markov models Statistics HTML
33	Discovering Efficiency in Coarse-To-Fine Texture Classification Jonathan T. Barron and Jitendra Malik Computer Science Division University of California at Berkeley, Berkeley, CA, 94720 {barron, malik}@eecs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-04-01 23:51:58 Science Computer vision Image processing Machine learning Graphical models Maximum-entropy Markov model Segmentation Conditional random field Hidden Markov model Statistics Markov models Applied mathematics
34	Log-Linear Models Noah A. Smith∗ Department of Computer Science / Center for Language and Speech Processing Johns Hopkins University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-11-30 01:37:48 Estimation theory Bayesian statistics M-estimators Maximum likelihood Mutual information Principle of maximum entropy Conditional entropy Entropy Kullback–Leibler divergence Statistics Information theory Statistical theory
35	Proceedings 2002 IEEE International Conference On Control Applications, Glasgow, Scotland, pp[removed]ANALYSIS OF PLANT-WIDE DISTURBANCES USING CONDITIONAL ENTROPY J. Paul Dobson and Nina F. Thornhill Department of Ele Add to Reading List Source URL: discovery.ucl.ac.uk Language: English - Date: 2008-01-09 08:18:21 Conditional entropy Information Statistics Telecommunications engineering Information theory Frequency modulation Entropy
36	Microsoft Word - paper-ISMB_revised-zkou.doc Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-03-17 15:21:31 Probability Bioinformatics Hidden Markov model Maximum-entropy Markov model Part-of-speech tagging Viterbi algorithm Conditional random field DICT Precision and recall Statistics Markov models Probability and statistics
37	Stacked Sequential Learning William W. Cohen Center for Automated Learning & Discovery School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-12 11:53:12 Science Statistics Conditional random field Theoretical computer science Learning Maximum-entropy Markov model Pattern recognition Hidden Markov model Information extraction Machine learning Markov models Artificial intelligence
38	[removed]Machine Learning, Spring 2011: Homework 1 Due: Tuesday, January 25, at the beginning of class Instructions There are 3 questions on this assignment. The last question involves coding. Attach your code to the write Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-14 19:42:06 Statistical theory Decision trees Poisson processes Pruning Kullback–Leibler divergence Poisson distribution Normal distribution Mutual information Conditional entropy Statistics Information theory Probability and statistics
39	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-17 18:22:06 Multivariate normal distribution Normal distribution Kullback–Leibler divergence Covariance matrix Conditional mutual information Conditional entropy Mutual information Joint probability distribution Statistical classification Statistics Information theory Naive Bayes classifier
40	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-26 12:02:42 Statistical theory Bayesian statistics Machine learning Naive Bayes classifier Kullback–Leibler divergence Mutual information Conditional entropy Joint probability distribution Normal distribution Statistics Information theory Statistical classification

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