337 search results - page 7 / 68 » On Weak Markov's Principle |
AUTOMATICA
2006
13 years 7 months ago
2006
This work is concerned with numerical methods for controlled regime-switching diffusions, and regime-switching jump diffusions. Numerical procedures based on Markov chain approxim...
IJCAI
1997
13 years 9 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
CDC
2009
IEEE
14 years 13 days ago
2009
IEEE
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
CONCUR
2000
Springer
14 years 2 days ago
2000
Springer
Abstract. In this paper, we introduce weak bisimulation in the framework of Labeled Concurrent Markov Chains, that is, probabilistic transition systems which exhibit both probabili...
COLING
2008
13 years 9 months ago
2008
Much previous work has investigated weak supervision with HMMs and tag dictionaries for part-of-speech tagging, but there have been no similar investigations for the harder proble...