Extracting Knowledge Embedded Support Vector Machines

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Extracting the knowledge embedded in support vector ...

    https://www.researchgate.net/publication/4116664_Extracting_the_knowledge_embedded_in_support_vector_machines
    Request PDF Extracting the knowledge embedded in support vector machines One of the main challenges in support vector machine (SVM) for data mining applications is to obtain explicit knowledge ...

Knowledge Extraction from Support Vector Machines: A Fuzzy ...

    http://www.eng.tau.ac.il/~michaelm/shahaf.pdf
    Knowledge Extraction from Support Vector Machines: A Fuzzy Logic Approach ... The knowledge embedded in the FARB is represented in a symbolic form, so this equivalence ... Extracting the knowledge learned by a black–box classifier and representing

FEATURE EXTRACTION TECHNIQUES USING SUPPORT …

    https://pdfs.semanticscholar.org/3c77/d10b16f5e3d5dc3cf0bbd2817c966479f698.pdf
    Keywords: Data mining, F-score, Genetic Algorithm, K-means, ReliefF, Support Vector Machines. I. INTRODUCTION Data mining is the process of representing the useful and meaningful data from very large volumes of data. It is also referred to as ‘knowledge mining’ i.e. to obtain knowledge from the data. Data mining gives solution to the

Symbolic Knowledge Extraction from Support Vector Machines ...

    https://www.researchgate.net/publication/221138997_Symbolic_Knowledge_Extraction_from_Support_Vector_Machines_A_Geometric_Approach
    The learning system relies on a support vector machine (SVM), meanwhile a rule extraction module translate the embedded knowledge in the trained SVM in the form of symbolic rules.

Rule extraction from support vector machines Semantic ...

    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 ...

(PDF) Rule-Extraction from Support Vector Machines

    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 ...

Linguistic Rule Extraction from Support Vector Machine ...

    https://www.researchgate.net/publication/228744461_Linguistic_Rule_Extraction_from_Support_Vector_Machine_Classifiers
    PDF Classification decisions from linguistic rules are more desirable compared to complex mathematical formulas from support vector machine (SVM)... Find, read and cite all the research you ...

Variants of Support Vector Machines Springer for ...

    https://rd.springer.com/chapter/10.1007/978-1-84996-098-4_4
    Jan 22, 2010 · Abstract. Since the introduction of support vector machines, numerous variants have been developed. In this chapter, we discuss some of them: least-squares support vector machines, linear programming support vector machines, sparse support vector machines, etc.Cited by: 6

Fuzzy rules extraction from support vector machines for ...

    https://link.springer.com/article/10.1007/s00521-012-1048-5
    Jul 10, 2012 · This paper proposes a new method for fuzzy rule extraction from trained support vector machines (SVMs) for multi-class problems, named FREx_SVM. SVMs have been used in a variety of applications. However, they are considered “black box models,” where no interpretation about the input–output mapping is provided. Some methods to reduce this limitation have already been …Cited by: 11

(PDF) Knowledge Initialisation for Support Vector Machines

    https://www.researchgate.net/publication/37617678_Knowledge_Initialisation_for_Support_Vector_Machines
    Knowledge Initialisation for Support Vector Machines ... rule initialisation for support vector machines is presented. ... questions in extracting the knowledge embedded within ANN's including the ...



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