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Minimum message length
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1	Chapter 1 MINING AND USING SETS OF PATTERNS THROUGH COMPRESSION Matthijs van Leeuwen KU Leuven Leuven, Belgium Add to Reading List Source URL: www.patternsthatmatter.org Language: English - Date: 2014-12-31 10:52:18 Algorithmic information theory Information theory Cybernetics Formal sciences Theoretical computer science Statistics Minimum description length Statistical theory Lossless compression Minimum message length Data compression Kolmogorov complexity
2	Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties Gerhard Visser Clayton School of I.T., Monash University, Clayton, Vic. 3168, Australia, Add to Reading List Source URL: www.csse.monash.edu.au Language: English
3	UNSUPERVISED LEARNING OF GAMMA MIXTURE MODELS USING MINIMUM MESSAGE LENGTH YUDI AGUSTA Computer Science and Software Engineering Monash University Clayton, VIC 3800 Australia Add to Reading List Source URL: www.csse.monash.edu.au Language: English
4	The promise The puzzles The prospects Minimum message length as a truth-conducive simplicity measure Add to Reading List Source URL: www.fitelson.org Language: English - Date: 2008-05-21 01:04:30
5	17 MDL in Context In this chapter, we compare refined MDL to various other statistical inference methods. We start in Section 17.1, with a comparison between MDL and various frequentist approaches. Section 17.2 consider Add to Reading List Source URL: homepages.cwi.nl Language: English - Date: 2007-08-24 08:53:49 Estimation theory Statistical inference Frequentist inference Likelihood principle Bayesian inference Minimum message length Admissible decision rule Bayes estimator Principle of maximum entropy Statistics Statistical theory Bayesian statistics
6	The Story of The Hot Hand: Powerful Myth or Powerless Critique? Kevin B. Korb and Michael Stillwell Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-04-11 23:56:28 Statistical inference Design of experiments Psychometrics Algorithmic information theory Statistical hypothesis testing Minimum message length Null hypothesis Statistical power Minimum description length Statistics Science Hypothesis testing
7	Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-08-08 22:33:55 Statistical theory Minimum message length Prior probability Conjugate prior Bayes factor Bayes estimator Mixture model Bayesian inference Normal distribution Statistics Estimation theory Bayesian statistics
8	Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-08-24 01:51:47 Statistical theory Minimum message length Prior probability Conjugate prior Bayes factor Bayes estimator Mixture model Bayesian inference Normal distribution Statistics Estimation theory Bayesian statistics
9	PDF Document Add to Reading List Source URL: www.csse.monash.edu.au Language: English - Date: 2005-01-13 22:13:54 Mathematics Decision trees Minimum message length Machine learning Decision tree learning Statistical models Support vector machine Kolmogorov complexity Bayesian network Statistics Geometry Algorithmic information theory

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