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GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
14 years 6 days ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
ENC
2008
IEEE
14 years 1 months ago
Possibilistic-Based Argumentation: An Answer Set Programming Approach
In many fields of automated information processing it becomes crucial to consider together imprecise, uncertain or inconsistent information. Argumentation theory is a suitable fr...
Juan Carlos Nieves, Ulises Cortés, Mauricio...
IWPC
2009
IEEE
14 years 2 months ago
Intensions are a key to program comprehension
The classical comprehension theories study relations between extensions, intensions, and names. Originally developed in linguistics and mathematics, these theories are applicable ...
Václav Rajlich
ICALP
2007
Springer
14 years 1 months ago
Co-Logic Programming: Extending Logic Programming with Coinduction
In this paper we present the theory and practice of co-logic programming (co-LP for brevity), a paradigm that combines both inductive and coinductive logic programming. Co-LP is a ...
Luke Simon, Ajay Bansal, Ajay Mallya, Gopal Gupta
JELIA
2004
Springer
14 years 23 days ago
On the Relation Between ID-Logic and Answer Set Programming
This paper is an analysis of two knowledge representation extensions of logic programming, namely Answer Set Programming and ID-Logic. Our aim is to compare both logics on the leve...
Maarten Mariën, David Gilis, Marc Denecker