Patent Document ID: 8108324
Application ID: 12152568
Patent Flag: 1

Claim One:
1. A method comprising: training, using a processor of a computer system, a Support Vector Machine (SVM) on a subset of features (d′) of a feature set having (d) features of a plurality of training instances to obtain a weight per instance ({right arrow over (α)}′); approximating, using the processor of the computer system, a quality for the d features of the feature set using the weight per instance; ranking, using the processor of the computer system, the d features of the feature set based on the approximated quality; selecting, using the processor of the computer system, a subset (q) of the features of the feature set based on the ranked approximated weights; and iterating training the SVM, approximating the quality, ranking the d features, and selecting the q subset until the q subset is less than a selected threshold.