Rule Extraction from Support Vector Machines

Name: Rule Extraction from Support Vector Machines
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540753896
Price: 826.8 RON
Availability: InStock

Autor: Joachim Diederich

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Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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Overa period spanning morethana decade,supportvector machines (SVMs) have evolved into a leading mac...

Informații despre carte

Autor

Joachim Diederich

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2008

Pagini

262

EAN

9783540753896

ISBN

3540753893

Enbook ID

01569315

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

582

Dimensiuni

155 x 235 x 20

Descriere completă

Overa period spanning morethana decade,supportvector machines (SVMs) have evolved into a leading machine learning technique. SVMs are being applied to a wide range of problems, including bioinformatics, face rec- nition, text classi?cation and many more. It is fair to say that SVMs are one of the most important methods used for data mining with a wide range of software available to support their application. A signi?cant barrier to the widespread application of support vector machines is the absence of a capability to explain, in a human comprehensible form,either the process by which anSVM arrivesat a speci?c decision/result, or more general, the totality of knowledge embedded in these systems. This lack of a capacity to provide an explanation is an obstacle to a more g- eral acceptance of back box machine learning systems. In safety-critical or medical applications, an explanation capability is an absolute requirement. This book provides an introduction and overviewof methods used for rule extractionfrom support vector machines.The ?rst parto?ers an introduction to the topic as well as a summary of current research issues. The second chaptersurveysthe?eldofruleextractionfromSVMs,reviewsareasofcurrent research and introduces an application in the ?nancial ?eld.

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