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by Andreas Christmann, Paul Fischer, Thorsten Joachims
http://www.quantlet.de/scripts/compstat2002_wh/paper/full/C_03_christmann.pdf
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Abstract:
Classification based on the vector machine, regression discriminant analysis support depth, and
Citations
| 1051 | Learning with Kernels – Schölkopf, Smola - 2002 |
| 786 | Making large-Scale SVM Learning Practical – Joachims - 1999 |
| 779 | The Elements of Statistical Learning – Hastie, Tibshirani, et al. - 2001 |
| 43 | Computing location depth and regression depth in higher dimensions – Rousseeuw, Struyf - 1998 |
| 40 | Robust trainability of single neurons – Hoeffgen, Simon, et al. - 1995 |
| 38 | Regression depth – Rousseeuw, Hubert - 1999 |
| 6 | Measuring overlap in logistic regression – Christmann, Rousseeuw - 2001 |
| 2 | Comparison between the regression depth method and the support vector machine to approximate the minimum number of misclassifications. To appear in: Computational Statistics – Christmann, Fischer, et al. - 2002 |
| 1 | Support Vector Machines. The Interface to libsvm in package e1071. Online-Documentation of the package e1071 for "R – Meyer - 2001 |
