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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2011)

Search Results: Keywords 'from:2012-03-12 to:2012-03-12'
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 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 21 - 25 of 25 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2012-03-13
15:40		 Tokyo The Institute of Statistical Mathematics Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression
Nozomi Kurihara, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-105		 Pool-based batch active learning is aimed at choosing training inputs from a `pool' of test inputs so that the generaliz... [more] IBISML2011-105
pp.123-130
IBISML 2012-03-13
16:05		 Tokyo The Institute of Statistical Mathematics Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier
Tsubasa Kobayashi, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-106		 The objective of pool-based incremental active learning is to choose a sample to label from a pool of unlabeled samples ... [more] IBISML2011-106
pp.131-138
IBISML 2012-03-13
16:30		 Tokyo The Institute of Statistical Mathematics Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-107		 Feature selection is a technique to screen out less important features.
Many existing supervised feature selection alg... [more]		 IBISML2011-107
pp.139-146
IBISML 2012-03-13
16:55		 Tokyo The Institute of Statistical Mathematics Squared-loss Mutual Information Regularization
Gang Niu, Wittawat Jitkrittum, Hirotaka Hachiya (Tokyo Inst. of Tech.), Bo Dai (Purdue Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-108		 The information maximization principle is a useful alternative to the low-density separation principle and prefers proba... [more] IBISML2011-108
pp.147-153
IBISML 2012-03-13
17:20		 Tokyo The Institute of Statistical Mathematics The Information-Based Inductive Sciences and Biological Learning -- The Quantum Mechanism of Concept (Digital Linguistics) --
Kimiaki Tokumaru (System Engineer) IBISML2011-109		 In order to discuss on the Information-Based Inductive Sciences and Machine Learning, it is necessary to clarify what is... [more] IBISML2011-109
pp.155-162
 Results 21 - 25 of 25 [Previous]  /   
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