Searching for Eclectic Rule Extraction From Support Vector Machines information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/37617727_Eclectic_Rule-Extraction_from_Support_Vector_Machines
In this paper, an approach for learning-based rule-extraction from support vector machines is outlined, including an evaluation of the quality of the extracted rules in terms of fidelity, accuracy ...
https://core.ac.uk/download/pdf/14982533.pdf
novel approach for eclectic rule-extraction from support vector machines is presented. This approach utilizes the knowledge acquired by the SVM and represented in its support vectors as well as the parameters associated with them. The approach includes three stages; training, propositional rule-extraction and rule quality evaluation.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.568.8677
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently, the area of rule extraction from support vector machines (SVMs) has been explored. One important indication of the success of a rule extraction method is the performance of extracted rules as compared to the original SVM. In this paper, we describe the use of the area under the receiver operating ...
https://www.sciencedirect.com/science/article/pii/S0925231210001591
D. Martens, B. Baesens, T.V. GestelDecompositional rule extraction from support vector machines by active learning IEEE Transactions on Knowledge and Data …Cited by: 174
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 ...
https://espace.library.uq.edu.au/view/UQ:7813/NB_APB_ICPR06.pdf
Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve Nahla Barakat±* and Andrew P. Bradley* ±Sohar University, Oman *School of Information Technology and Electrical Engineering (ITEE) …Cited by: 37
https://core.ac.uk/display/14982533
In this paper, a novel approach for eclectic rule- extraction from support vector machines is presented. This approach utilizes the knowledge acquired by the SVM and represented in its support vectors as well as the parameters associated with them.Author: Nahla Barakat and Joachim Diederich
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.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.grin.com/document/193686
Rule Extraction from Support Vector Machine - Applications to Banking and Finance - Mohammed Farquad - Doctoral Thesis / Dissertation - Computer Science - Applied - Publish your bachelor's or master's thesis, dissertation, term paper or essay
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