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ICML
2007
IEEE
14 years 10 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
WWW
2005
ACM
14 years 10 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...
IADIS
2004
13 years 11 months ago
Problem Based Learning in the Digital Age: A Case Study on Digital Entertainment
While the digital age is based on computing, computing disciplines remain conservative in their curricula and delivery methods. Computer science and information systems curricula ...
Janet Aisbett, Greg Gibbon
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 5 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...