Enhancing SVM with Visualization

Author:

Do Thanh-Nghi,Poulet François

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Bennett, K., Campbell, C.: Support Vector Machines: Hype or Hallelujah? SIGKDD Explorations 2(2), 1–13 (2000)

2. Blake, C., Merz, C.: UCI Machine Learning Repository (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html

3. Caragea, D., Cook, D., Honavar, V.: Towards Simple, Easy-to-Understand, yet Accurate Classifiers. In: Proc. of VDM@ICDM.03, the 3rd Int. Workshop on Visual Data Mining, Florida, USA, pp. 19–31 (2003)

4. Chang, C.-C., Lin, C.-J.: LIBSVM. A Library for Support Vector Machines (2003), http://www.csie.ntu.edu.tw/~cjlin/libsvm/

5. Cleveland, W.-S.: Visualizing Data. Hobart Press, Summit NJ (1993)

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