219 search results - page 20 / 44 » Using Markov Blankets for Causal Structure Learning |
122
Voted
ALT
2007
Springer
16 years 17 days ago
2007
Springer
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
124
Voted
ALT
2004
Springer
16 years 17 days ago
2004
Springer
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
138
Voted
PERCOM
2003
ACM
15 years 9 months ago
2003
ACM
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
129
Voted
COLT
1994
Springer
15 years 7 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
113
Voted
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...