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ICML
2004
IEEE
16 years 1 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 6 months ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos
AAAI
1996
15 years 2 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
RECOMB
2003
Springer
16 years 1 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler

Source Code
1894views
15 years 7 months ago
Supervised Image Segmentation Using Markov Random Fields
This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: 1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...
Csaba Gradwohl, Zoltan Kato