## Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression

- Shantanu Chakrabartty, Gert Cauwenberghs
- Journal of Machine Learning Research
- 2007

Highly Influenced

@inproceedings{Zhu2002SupportVM, title={Support Vector Machines, Kernel Logistic Regression and Boosting}, author={Ji Zhu and Trevor J. Hastie}, booktitle={Multiple Classifier Systems}, year={2002} }

- Published 2002 in Multiple Classifier Systems
DOI:10.1007/3-540-45428-4_2

The support vector machine is known for its excellent performance in binary classification, i.e., the response y ∈ {−1, 1}, but its appropriate extension to the multi-class case is still an on-going research issue. Another weakness of the SVM is that it only estimates sign[p(x) − 1/2], while the probability p(x) is often of interest itself, where p(x) = P (Y = 1|X = x) is the conditional probability of a point being in class 1 given X = x. We propose a new approach for classification, called… CONTINUE READING