1149 search results - page 31 / 230 » Learning Dynamic Bayesian Networks |
ECSQARU
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
IJCAI
2007
14 years 11 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
ML
2010
ACM
14 years 8 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
ECTEL
2006
Springer
15 years 1 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
ILP
2005
Springer
15 years 3 months ago
2005
Springer
Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining inferences would never s...