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124
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ICTAI
2009
IEEE
15 years 10 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
134
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JAIR
2010
145views more  JAIR 2010»
15 years 1 months ago
Fast Set Bounds Propagation Using a BDD-SAT Hybrid
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
Graeme Gange, Peter J. Stuckey, Vitaly Lagoon
123
Voted
ICML
2004
IEEE
16 years 4 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
FLAIRS
2001
15 years 4 months ago
Improvement of Nearest-Neighbor Classifiers via Support Vector Machines
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
Marc Sebban, Richard Nock
112
Voted
ECAI
1998
Springer
15 years 7 months ago
Integrating Abduction and Induction
In this paper we describe an approach for integrating abduction and induction in the ILP setting of learning from interpretations with the aim of solving the problem of incomplete...
Fabrizio Riguzzi