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Learning classifier system

Known as: Classifier system, LCS 
Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a… 
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Related topics

Related topics

38 relations
Artificial immune systemArtificial intelligenceArtificial neural networkAssociation rule learning

Papers overview

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2015
2015
A Multi-Classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images
2013
2013
Emotion Recognition Using Neural Network: A Comparative Study
Emotion recognition is an important research field that finds lots of applications nowadays. This work emphasizes on recognizing… 
2009
2009
Comparison of the Primitive Classifiers without Features Selection in Credit Scoring
  • Feng-Chia Li
  • International Conference on Management and…
  • 2009
  • Corpus ID: 27622469
Finding effective classifier is important because it will help people make an objective decision instead of them having to rely… 
2007
2007
A New Step for Artificial Creatures
In this article, we present our research on the evolution of morphology and behavior of complex creatures in virtual environments… 
2007
2007
On Rejecting Unreliably Classified Patterns
In this paper we propose to face the rejection problem as a new classification problem. In order to do that, we introduce a… 
2005
2005
Situation aspect : a two-level approach
In this paper we will extend Smith's (1997) two-component aspect theory and develop a two-tiered model of situation aspect, in… 
2003
2003
A classifier system in real applications for robot navigation
This paper presents an autonomous evolutionary system applied to control a mobile robot in unknown environments. The navigation… 
2002
2002
Training RBF neural networks on unbalanced data
This paper presents a new algorithm for the construction and training of an RBF neural network with unbalanced data. In… 
Review
1998
Review
1998
L.A.U.D.E.: Learning Automata For Urban Development Exploration The Case Study Of Rome Urban System
This paper deals with urban cellular automata. It is organized in two parts. The first one is concerning theory, methodology and… 
1995
1995
Organizational Learning Within A Learning Classifier System
This thesis recasts the debate between Michigan-style and Pitt-style classi er systems to a debate on appropriately sizing…