Results 281 to 290 of about 66,699 (304)

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

A comparison of classification strategies in rule-based classifiers

Logic Journal of the IGPL, 2017
openaire   +1 more source

Multi-objective evolutionary design of granular rule-based classifiers

Granular Computing, 2015
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini   +2 more
exaly  

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data

Information Sciences, 2017
Francesco Marcelloni, Michela Antonelli, Pietro Ducange   +2 more
exaly  

An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples

Engineering Applications of Artificial Intelligence, 2004
Jerzy Stefanowski
exaly  

Rule-Based Classifiers

2016
openaire   +1 more source

A Study of Rule-based Flame Pixel Classifiers in Still Images

2022
Amila Akagic
exaly  

Design of Accurate Classifiers With a Compact Fuzzy-Rule Base Using an Evolutionary Scatter Partition of Feature Space

IEEE Transactions on Systems, Man, and Cybernetics, 2004
Shinn-Ying Ho, Shinn-Jang Ho
exaly  

Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers

Genomics, 2014
Dimitris Polychronopoulos, Emanuel Weitschek, Slavica Dimitrieva   +2 more
exaly  

Towards robust classifiers using optimal rule discovery

International Journal of Data Mining, Modelling and Management, 2014
Sahar M Ghanem
exaly