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ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
MOR
2006
79views more  MOR 2006»
14 years 9 months ago
The Value of Markov Chain Games with Lack of Information on One Side
We consider a two-player zero-sum game given by a Markov chain over a finite set of states K and a family of zero-sum matrix games (Gk)kK. The sequence of states follows the Marko...
Jérôme Renault
ANOR
2010
139views more  ANOR 2010»
14 years 8 months ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan
DCC
2004
IEEE
15 years 9 months ago
On the Entropy of a Hidden Markov Process
We study the entropy rate of a hidden Markov process (HMP) defined by observing the output of a binary symmetric channel whose input is a first-order binary Markov process. Despit...
Philippe Jacquet, Gadiel Seroussi, Wojciech Szpank...
ICANN
2009
Springer
15 years 2 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...