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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

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Performance comparison of feature vector extraction techniques in RGB color space using block truncation coding for content based image classification with discrete classifiers
Content based image classification is a vital component of machine learning and is attaining increasing importance in the field… 
Highly Cited
2007
Highly Cited
2007
Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data
In this paper, we present an algorithm to identify different types of objects from 2D and 3D laser range data. Our method is a… 
2007
2007
Combining On-Line and Off-Line Systems for Handwriting Recognition
In this paper we present a new multiple classifier system (MCS)for recognizing notes written on a whiteboard. This MCS combines… 
2005
2005
Improving cascading classifiers with particle swarm optimization
This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in… 
2004
2004
Biometric system based in the feature of hand palm
In this paper, we are going to use the drawings that form the characteristics of the hand palm, as are fold (commonly called… 
2001
2001
Emergent synthesis of motion patterns for locomotion robots
2001
2001
Mining interesting knowledge from data with the XCS classifier system
We apply a version of XCS which exploits a general purpose representation to the problem of mining knowledge from some well-known… 
Highly Cited
1997
Highly Cited
1997
Discovering Risk of Disease with a Learning Classifier System
A learning classifier system, EpiCS, was used to de rive a continuous measure of disease risk in a series of 250 individuals… 
1990
1990
Representing Attribute-Based Concepts in a Classifier System
Highly Cited
1989
Highly Cited
1989
Recognizing Hand-Printed Letters and Digits
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation… 
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