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JMLR
2012
12 years 1 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu

Publication
243views
14 years 9 months ago
A Java-based Wrapper for Wireless Communications
The increasing number of new applications for mobile devices in pervasive environments, do not cope with changes in the wireless communications. Developers of such applications hav...
Alessandro Genco, Antonio Gentile, Cono Ferrarotto...
IJCAI
1997
13 years 12 months ago
Learning to Improve both Efficiency and Quality of Planning
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Tara A. Estlin, Raymond J. Mooney
AAMAS
2002
Springer
13 years 10 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 7 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre