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APIN
2010
107views more  APIN 2010»
14 years 10 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
IJAR
2006
133views more  IJAR 2006»
14 years 10 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
CONSTRAINTS
2007
46views more  CONSTRAINTS 2007»
14 years 10 months ago
Local-search Extraction of MUSes
SAT is probably one of the most-studied constraint satisfaction problems. In this paper, a new hybrid technique based on local search is introduced in order to approximate and ext...
Éric Grégoire, Bertrand Mazure, C&ea...
EOR
2007
101views more  EOR 2007»
14 years 10 months ago
Comprehensible credit scoring models using rule extraction from support vector machines
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...
PAA
2006
14 years 10 months ago
Automatic name extraction from degraded document images
The problem addressed in this paper is the automatic extraction of names from a document image. Our approach relies on the combination of two complementary analyses. First, the ima...
Laurence Likforman-Sulem, Pascal Vaillant, Aliette...