Results 261 to 270 of about 66,699 (304)

Evolution of Fuzzy Rule Based Classifiers

2004
The paper presents an evolutionary approach for generating fuzzy rule based classifier. First, a classification problem is divided into several two-class problems following a fuzzy unordered class binarization scheme; next, a fuzzy rule is evolved (not only the condition but the fuzzy sets are evolved (tuned) too) for each two-class problem using a ...
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A Framework for Designing a Fuzzy Rule-Based Classifier

2009
This paper is concerned with a general framework for designing a fuzzy rule-based classifier. Structure and parameters of the classifier are evolved through a two-stage genetic search. The classifier structure is constrained by a tree created using the evolving SOM tree algorithm.
Jonas Guzaitis, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene   +3 more
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Parallel Implementation of a Fuzzy Rule Based Classifier

2005
This works presents an implementation of a fuzzy rule based classifier where each single variable fuzzy rule based classifier (or a set of them) is assigned to a different processor in a parallel architecture. Partial conclusions are synchronized and processed by a master processor.
Alexandre G. Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken   +2 more
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Applications of Deep Rule-Based Classifiers

2018
In this chapter, the algorithm summary of the main procedure of the deep rule-based (DRB) classifier described in Chap. 9 is provided. Numerical examples based on popular benchmark image sets including, handwritten digits recognition, remote sensing scene classification, face recognition and object recognition, etc., are presented for evaluating the ...
Angelov, P.P., Gu, X.
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Application of fuzzy rule-based classifier to CBIR in comparison with other classifiers

2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014
At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Image classification is one of the most important tasks that must be dealt with in image DB as an intermediate stage prior to further image retrieval.
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A combined statistical and rule-based classifier

Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society, 2003
Summary form only given. A combined statistical and rule-based classifier is presented. It has been tested by classifying cervical cells. The statistical classifier is used to set up classification boundaries, and the expert knowledge in the rule-based classifier is used to monitor the overall situation and modify the classification boundaries ...
D. Tien, P. Nickolls
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Ensembling Rule Based Classifiers for Detecting Network Intrusions

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
An intrusion is defined as a violation of the security policy of the system, and hence, intrusion detection mainly refers to the mechanisms that are developed to detect violations of system security policy. Recently, data mining techniques have gained importance in providing the valuable information which in turn can help to enhance the decision on ...
Mrutyunjaya Panda, Manas Ranjan Patra
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From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier

2008
Neuro-fuzzy systems show very good performance and the knowledge comprised within their structure is easily interpretable. To further improve their accuracy they can be combined into ensembles. In the paper we combine specially modified Mamdani neuro-fuzzy systems into an AdaBoost ensemble.
Marcin Korytkowski, Leszek Rutkowski, Rafal Scherer   +2 more
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A new association rule-based text classifier algorithm

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
This paper proposes a new association rule-based text classifier algorithm to improve the prediction accuracy of association rule-based classifier by categories (ARC-BC) algorithm. Unlike the previous algorithms, the proposed association rule generation algorithm constructs two types of frequent itemsets. The first frequent itemsets, i.e.
Supaporn Buddeewong, Worapoj Kreesuradej
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CFAR++: Enhancing Rule Based Classifier

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zaïane   +2 more
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