277 search results - page 21 / 56 » Active Learning for Structure in Bayesian Networks |
100
click to vote
CIBCB
2009
IEEE
14 years 10 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
104
click to vote
BMCBI
2010
14 years 9 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
AGI
2011
14 years 1 months ago
2011
Abstract. A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian networ...
ICML
2009
IEEE
15 years 10 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...