Searching for Rule Extraction From Support Vector Machines By Genetic Algorithms information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/257435100_Rule_extraction_from_support_vector_machines_by_genetic_algorithms
Rule extraction from support vector machines by genetic algorithms Article in Neural Computing and Applications 23(3-4) · September 2012 with 11 Reads How we measure 'reads'
https://link.springer.com/article/10.1007/s00521-012-0985-3
Jun 15, 2012 · Support vector machines (SVMs) are state-of-the-art tools used to address issues pertinent to classification. However, the explanation capabilities of SVMs are also their main weakness, which is why SVMs are typically regarded as incomprehensible black box models. In the present study, a rule extraction algorithm to extract the comprehensible rule from SVMs and enhance their …Cited by: 5
https://rd.springer.com/article/10.1007/s00500-011-0762-8
Sep 20, 2011 · Abstract. Developing rule extraction algorithms from machine learning techniques such as artificial neural networks and support vector machines (SVMs), which are considered incomprehensible black-box models, is an important topic in current research.Cited by: 5
https://www.semanticscholar.org/paper/Rule-extraction-from-support-vector-machines-N%C3%BA%C3%B1ez-Angulo/1a129126a237c69cf110132f2742b55d82dae38f
In this work, a procedure for rule extraction from support vector machines is proposed: the SVM+Prototypes method. This method allows to give explanation ability to SVM. Once determined the decision function by means of a SVM, a clustering algorithm is …
https://pdfs.semanticscholar.org/38d2/8bf567167d148720ee80d87ae510959880c7.pdf
approach for rule-extraction from support vector machines is presented. This approach handles rule-extraction as a learning task, which proceeds in two steps. The first is to use the labeled patterns from a data set to train an ... Rule-extraction algorithms allow a trained ANN or SVM to be used as the basis for the construction of a knowledge ...
https://www.sciencedirect.com/science/article/pii/S0957417419302593
Zhang, Su, Jia, and Chu (2005) presented a hyperrectangle rule extraction (HRE) algorithm for extraction of rules from the trained SVMs. Support Vector Clustering (SVC) algorithm was used to find prototype vectors for each class and then using those vectors with SVs for generation of hyperrectangles.Cited by: 2
http://www.applieddatamining.com/cms/?q=research/rule-extraction
Rule-extraction algorithms have been proposed to solve this problem for classification by extracting comprehensible rulesets from the better performing, complex models. We present a new rule extraction algorithm for regression, based on active learning and the pedagogical approach to rule extraction. ... Abstract : Support vector machines (SVMs ...
https://www.researchgate.net/publication/257432295_Rule_extraction_algorithm_from_support_vector_machines_and_its_application_to_credit_screening
Developing rule extraction algorithms from machine learning techniques such as artificial neural networks and support vector machines (SVMs), which …
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.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2002-51.pdf
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 explanation ability to SVM. Once determined the decision function by means of a SVM, a clustering algorithm is used to determine prototype vectors for each class.
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