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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 6 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
NECO
2010
154views more  NECO 2010»
14 years 11 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
CORR
2008
Springer
99views Education» more  CORR 2008»
15 years 20 days ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
SGAI
2007
Springer
15 years 6 months ago
Dynamic Rule Mining for Argumentation Based Systems
Argumentation has proved to be a very influential reasoning mechanism particularly in the context of multi agent systems. In this paper we introduce PADUA (Protocol for Argumenta...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...
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ISCI
1998
139views more  ISCI 1998»
15 years 7 days ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan