698 search results - page 60 / 140 » Bayesian probability |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
AUSAI
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
ECAI
2006
Springer
14 years 21 days ago
2006
Springer
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
CIMCA
2008
IEEE
14 years 3 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
AAAI
2008
13 years 11 months ago
2008
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...