181 search results - page 3 / 37 » Learning bayesian networks consistent with the optimal branc... |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
RECOMB
2003
Springer
14 years 5 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
DCC
2007
IEEE
14 years 5 months ago
2007
IEEE
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
UAI
1998
13 years 7 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...