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JMLR
2006
156views more  JMLR 2006»
15 years 6 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
184
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ENTCS
2007
105views more  ENTCS 2007»
15 years 6 months ago
Narrowing and Rewriting Logic: from Foundations to Applications
Narrowing was originally introduced to solve equational E-unification problems. It has also been recognized as a key mechanism to unify functional and logic programming. In both ...
Santiago Escobar, José Meseguer, Prasanna T...
ENTCS
2007
100views more  ENTCS 2007»
15 years 6 months ago
JOLIE: a Java Orchestration Language Interpreter Engine
Service oriented computing is an emerging paradigm for programming distributed applications based on services. Services are simple software elements that supply their functionalit...
Fabrizio Montesi, Claudio Guidi, Roberto Lucchi, G...
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 6 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 6 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
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