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Entropy maximization
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1	Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, Cheng Soon Ong, and Joachim M. Buhmann Department of Computer Science, ETH Z¨ urich, Switzerland Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2016-06-09 08:04:49
2	Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann Machine Learning and Pattern Recognition Group, ETH Zurich, Switzerland Contributions Add to Reading List Source URL: www.pletscher.org Language: English - Date: 2014-01-07 01:48:00
3	Genome Informatics 15(1): 149–Constructing Networks with Correlation Maximization Methods Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-05-18 04:43:24 Information theory Biology Gene expression Mathematics Systems biology Academia Networks Mutual information Gene regulatory network Conditional entropy Associative property
4	Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, Cheng Soon Ong, and Joachim M. Buhmann Department of Computer Science, ETH Z¨ urich, Switzerland Add to Reading List Source URL: www.pletscher.org Language: English - Date: 2014-01-07 01:48:28
5	Supplemental Material for Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, Cheng Soon Ong, and Joachim M. Buhmann Department of Computer Science, ETH Z¨ urich, Switzerland Add to Reading List Source URL: www.pletscher.org Language: English - Date: 2014-01-07 01:48:00
6	Preliminary and Incomplete Risk and Robustness in General Equilibrium Evan W. Anderson Lars Peter Hansen and Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:55 Statistical theory Markov models Information theory Markov chain Entropy Kullback–Leibler divergence Expectation–maximization algorithm Statistics Markov processes Probability and statistics
7	Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-16 00:56:41 Information theory Statistical natural language processing Categorical data Probabilistic latent semantic analysis Expectation–maximization algorithm Perplexity Entropy Kullback–Leibler divergence Likelihood function Statistics Estimation theory Statistical theory
8	Mining the Web With Active Hidden Markov Models Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:12:44 Probability and statistics Hidden Markov model Maximum-entropy Markov model Speech recognition Forward–backward algorithm Markov chain Baum–Welch algorithm Expectation–maximization algorithm Algorithm Markov models Statistics Machine learning
9	A PAC-Bayesian Approach to Minimum Perplexity Language Modeling Mark Hasegawa-Johnson University of Illinois 405 N. Mathews Ave. Urbana, IL 61801, USA Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:15 Estimation theory Bayesian statistics Multivariate statistics Kullback–Leibler divergence Hidden Markov model Entropy Cluster analysis Expectation–maximization algorithm Cross entropy Statistics Statistical theory Information theory
10	1 The Latent Maximum Entropy Principle 2 3 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:25:18 Information theory Estimation theory Bayesian statistics Randomness Expectation–maximization algorithm Principle of maximum entropy Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Probability and statistics Statistical theory

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