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ICARIS
2010
Springer
13 years 7 months ago
An Information-Theoretic Approach for Clonal Selection Algorithms
In this research work a large set of the classical numerical functions were taken into account in order to understand both the search capability and the ability to escape from a lo...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, ...
ICPR
2002
IEEE
14 years 11 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
WECWIS
2009
IEEE
162views ECommerce» more  WECWIS 2009»
14 years 4 months ago
QoS-Driven Web Service Composition Using Learning-Based Depth First Search
—The goal of the Web Service Composition (WSC) problem is to find an optimal composition of web services to satisfy a given request using their syntactic and/or semantic feature...
Wonhong Nam, Hyunyoung Kil, Jungjae Lee
ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Data Modeling Strategies for Imbalanced Learning in Visual Search
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
Jelena Tesic, Apostol Natsev, Lexing Xie, John R. ...
IJAIT
2002
81views more  IJAIT 2002»
13 years 10 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos