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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.
2016
2016
Bundle Block Detection Using Genetic Neural Network
Abnormal Cardiac beat identification is a key process in the detection of heart ailments. This work proposes a technique for the… 
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… 
2011
2011
Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach
The problem is target classification in the circumstances where the likelihood models are imprecise. The paper highlights the… 
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… 
2005
2005
A COMBINED NEURO-FUZZY APPROACH FOR CLASSIFYING IMAGE PIXELS IN MEDICAL APPLICATIONS
This paper is concerned with classifying image pixels into three sets of pixels: contour, regular, and texture. When properly… 
2005
2005
Entity identification for heterogeneous database integration--a multiple classifier system approach and empirical evaluation
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… 
1992
1992
What Makes a Problem Hard for a Classifier System
1991
1991
Lookahead Planning and Latent Learning in a Classifier System
Classifier systems (CSs) have been used to simulate and describe the behavior of adaptive organisms, animats, and robots. However… 
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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