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https://www.sciencedirect.com/science/article/pii/S0925231210001591
N. Barakat, J. Diederich, Learning-based rule-extraction from support vector machines: performance on benchmark data sets, in: Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Knowledge Engineering and Discovery Research …Cited by: 174
https://www.springer.com/gp/book/9783540753896
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a
https://link.springer.com/chapter/10.1007%2F978-3-540-75390-2_1
Rule extraction from support vector machines (SVMs) follows in the footsteps of the earlier effort to obtain human-comprehensible rules from artificial neural networks (ANNs) in order to explain “how” a decision was made or “why” a certain result was achieved.Cited by: 23
https://www.semanticscholar.org/paper/Rule-extraction-from-support-vector-machines-N%C3%BA%C3%B1ez-Angulo/1a129126a237c69cf110132f2742b55d82dae38f
Support vector machines (SVMs) are learning systems based on the statistical learning theory, which are exhibiting good generalization ability on real data sets. Nevertheless, a possible limitation of SVM is that they generate black box models. In this work, a procedure for rule extraction from support vector machines is proposed: the SVM+Prototypes method. This method allows to give ...
https://www.researchgate.net/publication/325442079_Rule-Extraction_from_Support_Vector_Machines
Over the last years, a number of studies on rule extraction from support vector machines (SVMs) have been introduced [1-5]. The research strategy in these projects is similar: to explore and ...Author: Joachim Diederich
https://www.researchgate.net/publication/221165847_Rule_extraction_from_support_vector_machines
Rule extraction from support vector machines. ... clustering to ex- tract rules from SVM classifiers by focusing on support vec- tors. Another rule extraction technique that is gaining atten- tion ...
http://pages.cs.wisc.edu/~gfung/rule_extraction_2005c.pdf
troducing a medical decision-support system based on such a classifier into clinical practice. Section 3 then describes the commonly used linear support vector machine classifier and gives a linear program for it. Section 4 provides our rule extraction algorithm; Each iteration of the rule extraction
https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2002-51.pdf
Rule extraction from support vector machines Haydemar Núñez1,3 Cecilio Angulo1,2 Andreu Català1,2 1Dept. of Systems Engineering, Polytechnical University of Catalonia Avda. Victor Balaguer s/n E-08800 Vilanova i la Geltrú, Spain {hnunez,cangulo}@esaii.upc.es
https://www.sciencedirect.com/science/article/pii/S0957417419302593
A rule extraction approach from support vector machines for diagnosing hypertension among diabetics. ... Ravi, & Raju, 2010) was developed to extract rules from SVMs and Support Vector Regression (SVR) for solving classification and regression problems. Artificial Immune System ... A.P. BradleyRule extraction from support vector machines: ...Cited by: 2
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