277 search results - page 29 / 56 » Active Learning for Structure in Bayesian Networks |
ISDA
2008
IEEE
15 years 4 months ago
2008
IEEE
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
62
Voted
CE
2007
14 years 9 months ago
2007
Social interactions profoundly impact the learning processes of learners in traditional societies. The rapid rise of the Internet using population has been the establishment of nu...
NIPS
2004
14 years 11 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
97
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...