Invention Grant
US08725660B2 Applying non-linear transformation of feature values for training a classifier 有权
应用特征值的非线性变换来训练分类器

Applying non-linear transformation of feature values for training a classifier
Abstract:
A collection of labeled training cases is received, where each of the labeled training cases has at least one original feature and a label with respect to at least one class. Non-linear transformation of values of the original feature in the training cases is applied to produce transformed feature values that are more linearly related to the class than the original feature values. The non-linear transformation is based on computing probabilities of the training cases that are positive with respect to the at least one class. The transformed feature values are used to train a classifier.
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