1074 search results - page 66 / 215 » Learning by Experience Networks in Learning Organizations |
159
click to vote
JMLR
2010
14 years 11 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
162
click to vote
ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
151
click to vote
RECOMB
2004
Springer
16 years 4 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
134
click to vote
CEC
2010
IEEE
15 years 5 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
140
click to vote
ICMLA
2007
15 years 5 months ago
2007
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...