Rule Extraction from Support Vector Machines 2008
Joachim Diederich (Ed.):
Rule Extraction from Support Vector Machines.
Studies in Computational Intelligence Vol. 80 Springer 2008, ISBN 978-3-540-75389-6 
- Joachim Diederich:
Rule Extraction from Support Vector Machines: An Introduction.
3-31
- David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens:
Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.
33-63
- Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Rule Extraction for Transfer Learning.
67-82
- Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule Extraction from Linear Support Vector Machines via Mathematical Programming.
83-107
- Haydemar Núñez, Cecilio Angulo, Andreu Català:
Rule Extraction Based on Support and Prototype Vectors.
109-134
- Shaoning Pang, Nikola K. Kasabov:
SVMT-Rule: Association Rule Mining Over SVM Classification Trees.
135-162
- Marcin Blachnik, Wlodzislaw Duch:
Prototype Rules from SVM.
163-182
- Rolf Mitsdorffer, Joachim Diederich:
Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines.
185-203
- Carol Pedersen, Joachim Diederich:
Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction.
205-226
- Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan:
Rule Extraction from SVM for Protein Structure Prediction.
227-252
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