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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… Expand
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Related topics

Related topics

38 relations
Artificial immune systemArtificial intelligenceArtificial neural networkAssociation rule learning
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Abstract Activity detection and classification using different sensor modalities have emerged as revolutionary technology for… Expand
2017
2017
Introduction to Learning Classifier Systems
This chapter aims to introduce readers to Learning Classifier Systems (LCSs) through the lens of an accessible but non-trivial… Expand
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Review
2016
Review
2016
Deep learning in the automotive industry: Applications and tools
Deep Learning refers to a set of machine learning techniques that utilize neural networks with many hidden layers for tasks, such… Expand
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Highly Cited
2014
Highly Cited
2014
Practical Evasion of a Learning-Based Classifier: A Case Study
Learning-based classifiers are increasingly used for detection of various forms of malicious data. However, if they are deployed… Expand
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Highly Cited
2009
Highly Cited
2009
McPAD: A multiple classifier system for accurate payload-based anomaly detection
Anomaly-based network intrusion detection systems (IDS) are valuable tools for the defense-in-depth of computer networks… Expand
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Highly Cited
2008
Highly Cited
2008
Classification using intersection kernel support vector machines is efficient
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support… Expand
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Highly Cited
1999
Highly Cited
1999
Unsupervised classification using polarimetric decomposition and the complex Wishart classifier
The authors propose a new method for unsupervised classification of terrain types and man-made objects using polarimetric… Expand
Highly Cited
1995
Highly Cited
1995
Classifier Fitness Based on Accuracy
  • S. Wilson
  • Evolutionary Computation
  • 1995
    • Corpus ID: 18341635
In many classifier systems, the classifier strength parameter serves as a predictor of future payoff and as the classifier's… Expand
Highly Cited
1994
Highly Cited
1994
ZCS: A Zeroth Level Classifier System
  • S. Wilson
  • Evolutionary Computation
  • 1994
    • Corpus ID: 17680778
A basic classifier system, ZCS, is presented that keeps much of Holland's original framework but simplifies it to increase… Expand
Highly Cited
1994
Highly Cited
1994
Decision Combination in Multiple Classifier Systems
A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and… Expand
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