667 search results - page 53 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
159
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
121
Voted
COLT
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
167
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
182
Voted
IPMI
2011
Springer
14 years 7 months ago
2011
Springer
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
117
Voted
ICGI
2010
Springer
15 years 2 months ago
2010
Springer
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...