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ORCIDRule Extraction from Support Vector Machines 2008
- Joachim Diederich:
Rule Extraction from Support Vector Machines. Studies in Computational Intelligence 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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