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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 system
Artificial intelligence
Artificial neural network
Association rule learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
An improved early detection method of type-2 diabetes mellitus using multiple classifier system
Jia Zhu
,
Qing Xie
,
Kai Zheng
Information Sciences
2015
Corpus ID: 40694769
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
Sudeep D. Thepade
,
Rik Das
,
Saurav Ghosh
IEEE India Conference
2013
Corpus ID: 8445459
Content based image classification is a vital component of machine learning and is attaining increasing importance in the field…
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2012
2012
Deterministic model for Acute Myelogenous Leukemia classification
M. Madhukar
,
S. Agaian
,
Anthony T. Chronopoulos
IEEE International Conference on Systems, Man and…
2012
Corpus ID: 2047380
Leukemia is a type of cancer that affects the blood and the bone marrow. Manual data analysis is time consuming and not accurate…
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2009
2009
Multiple Classifier Systems for Adversarial Classification Tasks
B. Biggio
,
G. Fumera
,
F. Roli
International Workshop on Multiple Classifier…
2009
Corpus ID: 43026331
Pattern classification systems are currently used in security applications like intrusion detection in computer networks, spam…
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Highly Cited
2007
Highly Cited
2007
Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data
Rudolph Triebel
,
Richard Schmidt
,
Óscar Martínez Mozos
,
Wolfram Burgard
International Joint Conference on Artificial…
2007
Corpus ID: 1973951
In this paper, we present an algorithm to identify different types of objects from 2D and 3D laser range data. Our method is a…
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2005
2005
Improving cascading classifiers with particle swarm optimization
Luiz Oliveira
,
A. Britto
,
R. Sabourin
IEEE International Conference on Document…
2005
Corpus ID: 20439007
This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in…
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2001
2001
Emergent synthesis of motion patterns for locomotion robots
M. Svinin
,
Kazuaki Yamada
,
K. Ueda
Artificial Intelligence in Engineering
2001
Corpus ID: 42435736
Highly Cited
1997
Highly Cited
1997
Discovering Risk of Disease with a Learning Classifier System
J. Holmes
International Conference on Genetic Algorithms
1997
Corpus ID: 9517829
A learning classifier system, EpiCS, was used to de rive a continuous measure of disease risk in a series of 250 individuals…
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1990
1990
Representing Attribute-Based Concepts in a Classifier System
L. Booker
Foundations of Genetic Algorithms
1990
Corpus ID: 40602796
Highly Cited
1989
Highly Cited
1989
Recognizing Hand-Printed Letters and Digits
Gale Martin
,
J. Pittman
Neural Information Processing Systems
1989
Corpus ID: 1651768
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation…
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