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ADX Algorithm: a brief description of a rule based classifier

2004
In this paper, a new rule based classifier is presented. ADX is an algorithm for inductive learning and for later classification of objects. As is typical for rule systems, an knowledge representation is easy to understand by a human. The power of ADX algorithm is that rules are not too complicated and learning time increases linearly with the size of ...
openaire   +2 more sources

Integrated Generic Association Rule Based Classifier

18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
Ines Bouzouita, Samir Elloumi
openaire   +2 more sources

A Comparison of Learning Classifier Systems’ Rule Compaction Algorithms for Knowledge Visualization

ACM Transactions on Evolutionary Learning, 2021
Will N. Browne, Bing Xue
exaly  

A fuzzy if-then rule-based nonlinear classifier

2003
This paper introduces a new classifier design method that is based on a modification of the classical Ho-Kashyap procedure. The proposed method uses the absolute error, rather than the squared error, to design a linear classifier. Additionally, easy control of the generalization ability and robustness to outliers are obtained. ; Next, an extension to a
openaire   +1 more source

CBC: An Associative Classifier With a Small Number of Rules

Decision Support Systems, 2014
George Charles Runger   +2 more
exaly  

An Adaptive Rule-Based Classifier for Mining Big Biological Data

Expert Systems With Applications, 2016
Ann Nowé, Bernard Manderick
exaly  

Classifier Fusion in the Dempster–Shafer Framework Using Optimized t-Norm Based Combination Rules

International Journal of Approximate Reasoning, 2011
Benjamin Quost   +2 more
exaly  

Deep Takagi–Sugeno–Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules

IEEE Transactions on Fuzzy Systems, 2018
Hisao Ishibuchi   +2 more
exaly  

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