Patent Document ID: 7562060
Application ID: 11394744

Base Claim:
1. A computerized method for semi-supervised learning for web page classification, comprising: receiving a set of web pages as training elements; labeling some of the elements of the set of training elements that are determined to fall within a classification group, the set of training elements thereby having labeled elements and unlabeled elements; using selected labeled elements and unlabeled elements as examples in a semi-supervised support vector machine implemented using a mean field annealing method, constructing a continuous loss function from a non-continuous loss function, train a linear classifier; receiving unclassified web pages; and classifying the unclassified web pages using the trained linear classifier.

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Claim 6:
6. The method of claim 1 , wherein the semi-supervised support vector machine is implemented using a modified finite Newton method with one or multiple switching of labels of unlabeled example elements from the training set.