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Rule Extraction from Support Vector Machines /

Rule Extraction from Support Vector Machines /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Diederich, Joachim. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Computational Intelligence, 80
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Mathematical and Computational Engineering.
Artificial Intelligence.
Table of Contents:
  • Rule Extraction from Support Vector Machines: An Introduction
  • Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring
  • Algorithms and Techniques
  • Rule Extraction for Transfer Learning
  • Rule Extraction from Linear Support Vector Machines via Mathematical Programming
  • Rule Extraction Based on Support and Prototype Vectors
  • SVMT-Rule: Association Rule Mining Over SVM Classification Trees
  • Prototype Rules from SVM
  • Applications
  • Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines
  • Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction
  • Rule Extraction from SVM for Protein Structure Prediction.

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