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Könyv Rule Extraction from Support Vector Machines Joachim Diederich

Rule Extraction from Support Vector Machines

Szerző: Joachim Diederich
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
57 800 Ft
Overa period spanning morethana decade,supportvector machines (SVMs) have evolved into a leading mac...

Információk a könyvről

Szerző
Joachim Diederich
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2008
oldal
262
EAN
9783540753896
ISBN
3540753893
Enbook ID
01569315
Kiadó
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Súly
582
Méretek
155 x 235 x 20

Teljes leírás

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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