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Minimum description length
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31	1 Introduction How would you describe: • The sound of a violin? • Highway traffic during a rush hour? • Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-02-04 08:10:01 Applied mathematics Numerical Recipes Mathematical model Computer simulation Numerical analysis Economic model Minimum description length Computational science Mathematics Science
32	Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI Alexey Potapov1, Andrew Svitenkov2, Yurii Vinogradov2 1 AIDEUS, Russia Add to Reading List Source URL: agi-conference.org Language: English - Date: 2012-12-09 09:27:43 Ethology Artificial intelligence Statistical inference Inductive reasoning Ray Solomonoff Philosophy of science Inductive inference Kolmogorov complexity Minimum description length Science Algorithmic information theory Knowledge
33	Machine Learning, 29, 131–[removed]c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands. ° Bayesian Network Classifiers* Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2011-11-09 03:57:24 Statistical classification Graphical models Statistical models Naive Bayes classifier Bayesian network Supervised learning Bayesian inference Minimum description length Feature selection Statistics Bayesian statistics Machine learning
34	Extending Universal Intelligence Models with Formal Notion of Representation Alexey Potapov, Sergey Rodionov AIDEUS, Russia {potapov,rodionov}@aideus.com Add to Reading List Source URL: agi-conference.org Language: English - Date: 2012-12-09 09:28:32 Applied mathematics Artificial intelligence Information theory Inductive reasoning Randomness Kolmogorov complexity Ray Solomonoff Minimum description length Universal Turing machine Algorithmic information theory Theoretical computer science Science
35	6.867 Machine learning, lecture 11 (Jaakkola) 1 Lecture topics: model selection criteria • Minimum description length (MDL) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Bayesian statistics Information Maximum likelihood Mutual information Likelihood function Minimum description length Conditional entropy Estimation theory Information theory Statistics
36	AN MDL FRAMEWORK FOR DATA CLUSTERING Petri Kontkanen, Petri Myllym¨aki, Wray Buntine, Jorma Rissanen and Henry Tirri October 15, 2003 Add to Reading List Source URL: cosco.hiit.fi Language: English - Date: 2007-08-23 07:07:44 Multivariate statistics Data mining Geostatistics Minimum description length Mixture model Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Machine learning
37	Bayesian Network Structure Learning using Factorized NML Universal Models Teemu Roos, Tomi Silander, Petri Kontkanen, and Petri Myllymäki Complex Systems Computation Group, Helsinki Institute for Information Technology Add to Reading List Source URL: ita.ucsd.edu Language: English - Date: 2008-01-04 13:52:34 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics
38	Microsoft Word - FLAIRS-final.doc Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 07:03:24 Segmentation Minimum description length Multi-armed bandit Algorithm Overfitting Supervised learning Machine learning Statistics Concept drift
39	Bayesian Network Structure Learning using Factorized NML Universal Models Teemu Roos, Tomi Silander, Petri Kontkanen, and Petri Myllymäki Complex Systems Computation Group, Helsinki Institute for Information Technology Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2008-01-05 04:28:58 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics
40	Complexity across morphological paradigms: A minimum description length approach to identifying inflectional stems Jackson L. Lee and John A. Goldsmith {jsllee,goldsmith}@uchicago.edu University of Chicago Overview: Give Add to Reading List Source URL: jacksonllee.com Language: English - Date: 2014-10-22 18:57:08 Theoretical computer science Linguistic morphology Morphology Combinatorics Dynamic programming Word stem Subsequence Substring Longest common subsequence problem Mathematics Linguistics Grammar

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