Patent Document ID: 20120226655
Application ID: 13361460
Patent Flag: 0

Claim One:
1. A method of using a processor and a memory for classifying data associated with a feature space X to a set of classes y={0,1}, wherein features defining the feature space X are partitioned into X=X 1 ×X 2 , a random feature vector xεX is denoted correspondingly as x=(x 1 , x 2 ), and feature x 1 is a binary random variable related to a block size, the method comprising: estimating P(x 1 |x 2 ) from a set of unlabeled data; estimating P(x 1 =0|x 2 ) from a set of labeled data; determining whether to classify a portion of the data to y=0 or y=1 based on the estimated P(x 1 =0|x 2 ); logically associating the portion of the data in the memory with the class y=0 or the class y=1 based on the determination; and linking data based at least in part on the logically associating step.