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Learning theory
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#	Item
481	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2013-03-13 05:58:27 Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Probabilistic classification Supervised learning Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine
482	Context-Sensitive Induction Patrick Shafto1 , Charles Kemp1 , Elizabeth Baraff1 , John D. Coley2 , & Joshua B. Tenenbaum1 1 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology 2 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Reasoning Inductive reasoning Philosophy of science Statistical inference Critical thinking Causality Concept learning Bayesian network Inference Bayesian inference Theory Argument
483	X MAPE-K Formal Templates to Rigorously Design Behaviors for Self-Adaptive Systems DIDAC GIL DE LA IGLESIA, Linnaeus University DANNY WEYNS, Linnaeus University Add to Reading List Source URL: homepage.lnu.se Language: English - Date: 2015-01-21 07:11:11 Education Cybernetics Developmental psychology Educational psychology Cognition Systems science Control theory Systems theory Adaptive behavior Feedback Adaptive system Learning
484	Microsoft Word - hierarchical nash q learning in continuous games.docx Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:43 Game theory Nash equilibrium Strategy Bimatrix game Reinforcement learning Strategic dominance Stochastic game Economic equilibrium Potential game Folk theorem
485	Online Learning and Game Theory + On Learning with Similarity Functions Your Guide: Add to Reading List Source URL: mlss08.rsise.anu.edu.au Language: English
486	CS269: Machine Learning Theory Lecture 4: Infinite Function Classes October 6, 2010 Lecturer: Jennifer Wortman Vaughan Scribe: Luca Valente, Palash Agrawal Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
487	REV_ISS_WEB_COGS_12101_38 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-06-09 15:35:22 Statistics Statistical theory Statistical inference Philosophy of science Bayesian statistics Bayesian network Bayesian inference Bayesian probability Decision theory Prior probability Concept learning Markov chain Monte Carlo
488	Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen Computer Science Division University of California, Berkeley Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2004-05-13 12:59:32 Hilbert space Statistical classification Operator theory Positive-definite kernel Machine learning Support vector machine Reproducing kernel Hilbert space Learning Statistics Analysis Multiple kernel learning Kernel embedding of distributions
489	CS269: Machine Learning Theory Lecture 1: Course Introduction Jenn Wortman Vaughan University of California, Los Angeles September 27, 2010 Add to Reading List Source URL: www.jennwv.com Language: English - Date: 2013-08-25 22:35:26
490	JMLR: Workshop and Conference Proceedings vol–46.4 25th Annual Conference on Learning Theory Open Problem: Does AdaBoost Always Cycle? Cynthia Rudin Add to Reading List Source URL: rob.schapire.net Language: English - Date: 2015-07-13 19:42:37

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