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ICML
2008
IEEE
16 years 7 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ICANN
2009
Springer
15 years 4 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
SAS
1992
Springer
171views Formal Methods» more  SAS 1992»
15 years 10 months ago
Static Analysis of CLP Programs over Numeric Domains
Abstract Constraint logic programming (CLP) is a generalization of the pure logic programming paradigm, having similar model-theoretic, fixpoint and operational semantics [9]. Sinc...
Roberto Bagnara, Roberto Giacobazzi, Giorgio Levi
CP
2000
Springer
15 years 10 months ago
Singleton Consistencies
We perform a comprehensive theoretical and empirical study of the benefits of singleton consistencies. Our theoretical results help place singleton consistencies within the hierar...
Patrick Prosser, Kostas Stergiou, Toby Walsh
ABIALS
2008
Springer
15 years 8 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...