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21	A MINIMUM DESCRIPTION LENGTH METHOD OF MEDIUM-SCALE SIMULTANEOUS INFERENCE David R. Bickel Ottawa Institute of Systems Biology Department of Biochemistry, Microbiology, and Immunology Department of Mathematics and Statis Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2010-08-12 11:09:05
22	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 44, NO. 6, OCTOBERThe Minimum Description Length Principle in Coding and Modeling Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2012-10-24 14:35:25
23	Journal of Machine Learning Research564 Submitted 6/09; Revised 5/10; Published 2/11 Minimum Description Length Penalization for Group and Multi-Task Sparse Learning Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2011-03-03 15:54:26
24	NML-OPTIMAL HISTOGRAM DENSITY ESTIMATION Petri Kontkanen and Petri Myllym¨aki Complex Systems Computation Group (CoSCo) Helsinki Institute for Information Technology (HIIT) University of Helsinki and Helsinki University Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2008-08-07 07:15:00 Minimum description length Density estimation Statistical inference V-optimal histograms Multivariate kernel density estimation Statistics Non-parametric statistics Histogram
25	1 Learning, Regularity, and Compression Overview The task of inductive inference is to find laws or regularities underlying some given set of data. These laws are then used to gain insight Add to Reading List Source URL: homepages.cwi.nl Language: English - Date: 2007-08-21 10:18:33 Information theory Randomness Minimum description length Artificial intelligence Kolmogorov complexity Ray Solomonoff Random sequence Per Martin-Löf Inductive inference Algorithmic information theory Theoretical computer science Mathematics
26	C:/Documents and Settings/mga/My Documents/My Papers/PUBLISHED/MICCAI MLMI 2010/MLMI Final/miccai2010_final.dvi Add to Reading List Source URL: www.ee.oulu.fi Language: English - Date: 2011-04-08 05:15:43 Markov chain Minimum description length Thresholding Patch Computing Image processing Statistics Segmentation
27	A Bayesian Framework for Word Segmentation: Exploring the Effects of Context Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson Preprint for publication in Cognition Abstract Since the experiments of Saffran et al. Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2009-04-05 12:11:22 Statistical inference Statistical theory Estimation theory Bayesian statistics N-gram Language model Language acquisition Minimum description length Bayesian inference Statistics Science Probability and statistics
28	Microsoft Word - fp711-cao9.doc Add to Reading List Source URL: www2008.org Language: English - Date: 2008-04-10 01:58:57 Information Natural language processing Computational linguistics Library science Subject Vector space model Minimum description length Bin Science Information science Information retrieval
29	Microsoft Word - Abstract_Yau Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Minimum description length Estimation theory Time series analysis Non-linear systems SETAR Statistics Signal processing Algorithmic information theory
30	20 STATISTICAL LEARNING METHODS In which we view learning as a form of uncertain reasoning from observations. Add to Reading List Source URL: aima.cs.berkeley.edu Language: English - Date: 2002-11-14 11:01:47 Estimation theory Maximum likelihood Likelihood-ratio test Naive Bayes classifier Bayesian inference Conjugate prior Minimum description length Bayesian network Marginal likelihood Statistics Bayesian statistics Statistical theory

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