2467 search results - page 36 / 494 » Finite State Machines |
92
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
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...
101
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
124
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
94
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
DATESO
2004
15 years 1 months ago
2004
In this paper we introduce finite automata as a tool for specification and compression of gray-scale image. We describe, what are interests points in pictures and idea if they can ...