23 search results - page 1 / 5 » Bayesian network learning by compiling to weighted MAX-SAT |
UAI
2008
13 years 6 months ago
2008
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
ECSQARU
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...