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» Learning Abstraction Hierarchies for Problem Solving
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DAGM
2004
Springer
14 years 2 months ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann
IJCNLP
2005
Springer
14 years 2 months ago
Improving Korean Speech Acts Analysis by Using Shrinkage and Discourse Stack
Abstract. A speech act is a linguistic action intended by a speaker. It is important to analyze the speech act for the dialogue understanding system because the speech act of an ut...
Kyungsun Kim, Youngjoong Ko, Jungyun Seo
ECML
2005
Springer
14 years 2 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
CN
2002
82views more  CN 2002»
13 years 8 months ago
Optimal allocation of electronic content
Abstract-The delivery of large files to single users, such as application programs for some versions of the envisioned network computer, or movies, is expected by many to be one of...
Israel Cidon, Shay Kutten, Ran Soffer
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 8 months ago
Semidefinite programming for N-Player Games
Abstract. We introduce two min-max problems: the first problem is to minimize the supremum of finitely many rational functions over a compact basic semi-algebraic set whereas the s...
Rida Laraki, Jean B. Lasserre