220 search results - page 3 / 44 » Learning probabilistic decision graphs |
APN
2007
Springer
14 years 13 days ago
2007
Springer
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
SIGMOD
2007
ACM
14 years 6 months ago
2007
ACM
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
RSKT
2009
Springer
14 years 24 days ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
ILP
1997
Springer
13 years 10 months ago
1997
Springer
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...