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» A Market-based Rule Learning System
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142
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TFS
2008
129views more  TFS 2008»
15 years 2 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
153
Voted
UM
2009
Springer
15 years 10 months ago
Evaluating Web Based Instructional Models Using Association Rule Mining
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Enrique García, Cristóbal Romero, Se...
120
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FLAIRS
2003
15 years 5 months ago
Improving the Representation Space through Exception-Based Learning
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
137
Voted
PPSN
2004
Springer
15 years 9 months ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin
137
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GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 10 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull