Methods and systems are provided for feature selection in machine learning, in which the features selected for inclusion in a prediction rule are selected based on statistical metric(s) of feature contribution and/or model fitness.

 
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> Training a support vector machine with process constraints

> Computer implemented methods for solving difference and non-difference linear constraints

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