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Apprentice of Artificial Intelligence

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, May 19, 2011. Feature selection methods not so useful for graphical model structure learning. As discussed in one of my previous posts ( here. Of mine). However, the paper "Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification" ( Part I. Sunday, February 13, 2011. An ET point of view of neuroscience. The paper " Neuroscience...

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Apprentice of Artificial Intelligence | ai-ml.blogspot.com Reviews

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Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, May 19, 2011. Feature selection methods not so useful for graphical model structure learning. As discussed in one of my previous posts ( here. Of mine). However, the paper Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification ( Part I. Sunday, February 13, 2011. An ET point of view of neuroscience. The paper Neuroscience...

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Apprentice of Artificial Intelligence | ai-ml.blogspot.com Reviews

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Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, May 19, 2011. Feature selection methods not so useful for graphical model structure learning. As discussed in one of my previous posts ( here. Of mine). However, the paper "Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification" ( Part I. Sunday, February 13, 2011. An ET point of view of neuroscience. The paper " Neuroscience...

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Apprentice of Artificial Intelligence: Errors of Unsupervised Learning

http://ai-ml.blogspot.com/2010/07/errors-of-unsupervised-learning.html

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, July 22, 2010. Errors of Unsupervised Learning. The paper " Analyzing the Errors of Unsupervised Learning. ACL08) decomposes the errors of unsupervised learning into four types. 3 Identi fiability error. There are hidden variables (e.g., labels) in unsupervised learning. So there could be a few different models that have the same maximal objective function v...42 The object...

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Apprentice of Artificial Intelligence: March 2010

http://ai-ml.blogspot.com/2010_03_01_archive.html

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Monday, March 1, 2010. The paper " Measuring Model Complexity with the Prior Predictive. NIPS 2009) lists a few aspects of a model that a good complexity measure should take into account. The number of parameters. The functional form (the way the parameters are combined in the model equation). The prior distribution of the parameters. Subscribe to: Posts (Atom).

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Apprentice of Artificial Intelligence: December 2009

http://ai-ml.blogspot.com/2009_12_01_archive.html

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Monday, December 21, 2009. NIPS 2009 My List. Here is a list of NIPS2009 papers that are interesting to me. Rethinking LDA: Why Priors Matter. Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations. Discriminative and generative languages learning differ in the use of the "implici...

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Apprentice of Artificial Intelligence: July 2010

http://ai-ml.blogspot.com/2010_07_01_archive.html

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, July 22, 2010. Errors of Unsupervised Learning. The paper " Analyzing the Errors of Unsupervised Learning. ACL08) decomposes the errors of unsupervised learning into four types. 3 Identi fiability error. There are hidden variables (e.g., labels) in unsupervised learning. So there could be a few different models that have the same maximal objective function v...42 The object...

5

Apprentice of Artificial Intelligence: Unsupervised Multilingual Grammar Induction

http://ai-ml.blogspot.com/2010/09/unsupervised-multilingual-grammar.html

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Wednesday, September 1, 2010. Unsupervised Multilingual Grammar Induction. The first is " Learning Common Grammar from Multilingual Corpus. The second paper, " Phylogenetic Grammar Induction. From the results of these papers, it seems that the set of alternative grammars of each language is more or less different, but they all contains the grammar we use, so multilingual grammar indu...

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Apprentice of Artificial Intelligence

Apprentice of Artificial Intelligence. What I learn in machine learning, artificial intelligence, and other related areas. Thursday, May 19, 2011. Feature selection methods not so useful for graphical model structure learning. As discussed in one of my previous posts ( here. Of mine). However, the paper "Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification" ( Part I. Sunday, February 13, 2011. An ET point of view of neuroscience. The paper " Neuroscience...

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