1242 search results - page 53 / 249 » Learning Belief Networks from Data: An Information Theory Ba... |
SERA
2007
Springer
14 years 3 months ago
2007
Springer
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
ACL
2011
13 years 14 days ago
2011
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
BMCBI
2008
13 years 9 months ago
2008
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...