mixture.example

datasets

We propose weighted SVM methods with penalization form. By
adding weights to loss term, we can build up weighted SVM
easily and examine classification algorithm properties under
weighted SVM. Through comparing each of test error rates, we
conclude that our Weighted SVM with boosting has predominant
properties than the standard SVM have, as a whole.

SungHwan Kim

wSVM

Weighted SVM with boosting algorithm for improving accuracy

mixture.example function

Freidman, Tishirani, Hastie (2000). Elements of Statistical Learning, Springer.

mixture.example: mixture example

Description

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