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» On Kernel Methods for Relational Learning
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117
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ICML
1996
IEEE
16 years 3 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
CIKM
2009
Springer
15 years 9 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
JMLR
2011
188views more  JMLR 2011»
14 years 9 months ago
Linking Granger Causality and the Pearl Causal Model with Settable Systems
The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl’s Causal Model, and so far their re...
Halbert White, Karim Chalak, Xun Lu
134
Voted
BMCBI
2010
133views more  BMCBI 2010»
15 years 2 months ago
Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines
Background: Drugs can influence the whole metabolic system by targeting enzymes which catalyze metabolic reactions. The existence of interactions between drugs and metabolic react...
Limin Li, Xiaobo Zhou, Wai-Ki Ching, Ping Wang
130
Voted
CHI
2010
ACM
15 years 9 months ago
Interactive optimization for steering machine classification
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...