Patent ID: 9135567
Filing Date: 2015-09-15
Classification: G06F,G06K,G06N,G16B

Abstract:
1. A computer implemented method for selecting features from a feature space, the computer implemented method comprising: receiving, by a processor, a set of training samples and a set of test samples, wherein each of the set of training samples comprises a set of features and target values, and wherein the set of test samples comprises features from the same set of features as the set of training samples absent the target values; determining a first centered Gram matrix of a given dimension for each of a set of feature vectors comprising at least one of the set of training samples and at least one of the set of test samples; determining a second centered Gram matrix of the given dimension for a target value vector comprising the target values from the set of training samples, wherein a set of columns and rows associated with the at least one of the test samples in the second centered Gram matrix are set to 0; and selecting a subset of features from the set of features based on the first and second centered Gram matrices.