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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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CFAR++: Enhancing Rule Based Classifier

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Md Rayhan Kabir   +2 more
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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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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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Transparent Deep Rule-Based Classifiers

2018
In this chapter, a new type of deep rule-based (DRB) classifier with a multi-layer architecture is presented for image classification, which combines the computer vision techniques with a massively parallel set of zero-order fuzzy rules as its learning engine.
Angelov, P.P., Gu, X.
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Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier

2006 1st International Conference on Digital Information Management, 2007
In this paper, a fuzzy `if-then' rule based classifier is employed to predict bankruptcy in banks. This classification problem is formulated as a multi objective combinatorial optimization problem, where the rule base size is minimized and classification rate is maximized. Modified threshold accepting is applied to solve this optimization problem.
P. Ravi Kumar, Vadlamani Ravi
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Visualization of Rules in Rule-Based Classifiers

2012
Interpretation and visualization of the classification models are important parts of machine learning. Rule-based classifiers often contain too many rules to be easily interpreted by humans, and methods for post-classification analysis of the rules are needed. Here we present a strategy for circular visualization of sets of classification rules.
Susanne Bornelöv   +2 more
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Benchmark of Rule-Based Classifiers in the News Recommendation Task

2015
In this paper, we present experiments evaluating Association Rule Classification algorithms on on-line and off-line recommender tasks of the CLEF NewsReel 2014 Challenge. The second focus of the experimental evaluation is to investigate possible performance optimizations of the Classification Based on Associations algorithm.
Tomás Kliegr, Jaroslav Kuchar
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Fuzzy Dempster-Shafer reasoning for rule-based classifiers

Int. J. Intell. Syst., 1999
A fuzzy Dempster-Shafer model is proposed for various multisource classification purposes. Applications to a standard classification problem and for the assessment of a ground water vulnerability are included.
Elisabetta Binaghi, Paolo Madella
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Model Driven Classifier Evaluation in Rule-Based System

2013
Rule-based evolutionary systems like learning classifier system are widely used in industry and automation. In some types of problems we have additional information about problem solution. This information can be used in the process of problem solutions.
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