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Minimum description length
Results: 63

#	Item
11	Making Pattern Mining Useful Jilles Vreeken∗ Department of Information and Computing Sciences Universiteit Utrecht Utrecht, the Netherlands http://www.cs.uu.nl/groups/ADA/people/vreeken/ Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2011-01-03 09:18:31 Data management Data mining Minimum description length Lossless compression Data
12	Estimator for Number of Sources using Minimum Description Length Criterion for Blind Sparse Source Mixtures Radu Balan Siemens Corporate Research 755 College Road East Add to Reading List Source URL: www.math.umd.edu Language: English - Date: 2007-05-31 08:01:43
13	MDL Method: an Inductive Inference Method for Reconstructing Phylogenetic Trees Fengrong Ren Add to Reading List Source URL: www.jsbi.org Language: English - Date: 1998-01-09 02:50:12 Computational phylogenetics Phylogenetics Algorithmic information theory Minimum description length Statistical theory Phylogenetic tree Maximum parsimony PHYLIP MDL Maximum likelihood estimation
14	Proceedings of the Recent Breakthroughs in Minimum Description Length Learning Workshop Add to Reading List Source URL: icml2008.cs.helsinki.fi Language: English - Date: 2008-06-25 05:25:07
15	Proceedings of the Recent Breakthroughs in Minimum Description Length Learning Workshop Add to Reading List Source URL: uai2008.cs.helsinki.fi Language: English - Date: 2008-06-25 05:25:07
16	Minimum Description Length Principle for Linear Mixed Effects Models Li Li, Fang Yao∗ , Radu V. Craiu and Jialin Zou Department of Statistics, University of Toronto, Toronto, Ontario M5S 3G3, Canada August 30, 2013 Add to Reading List Source URL: www.utstat.utoronto.ca Language: English - Date: 2013-10-02 14:58:49
17	Image and Vision Computing–97 www.elsevier.com/locate/imavis An observation-constrained generative approach for probabilistic classification of image regions Sanjiv Kumara,, Alexander C. Louib, Martial He Add to Reading List Source URL: www.sanjivk.com Language: English* - Date: 2010-06-01 18:50:17 Probability and statistics Segmentation Generative model Mixture model Minimum description length Unsupervised learning Expectation–maximization algorithm Statistical classification Supervised learning Machine learning Statistics Computational statistics
18	Monday, August 17th; TIETOTALO building - Room TB109 8:45 – 9:30 Registration 9:30 – 10:30 Plenary Talk: Shun-ichi Amari (RIKEN Brain Science Institute, Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2009-08-13 09:15:10 University of Tampere Tampere Minimum description length Helsinki Institute for Information Technology Jorma Ollila University of Helsinki Helsinki Education in Finland Finland Jorma Rissanen
19	Probabilistic Classification of Image Regions using Unsupervised and Supervised Learning Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:42 Pattern recognition Segmentation Mixture model Minimum description length Generative model Unsupervised learning Expectation–maximization algorithm Statistical classification Supervised learning Statistics Machine learning Cluster analysis
20	MINIMUM DESCRIPTION LENGTH BASED HIDDEN MARKOV MODEL CLUSTERING FOR LIFE SEQUENCE ANALYSIS Jouni Helske1 , Mervi Eerola2 , Ioan Tabus1 1 Department of Signal Processing, Tampere University of Technology, Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2010-08-12 11:09:05