Patent ID: 7472096
Filing Date: 2008-12-30
Classification: G06N

Abstract:
1. A computer-implemented method for training a machine learning system to structure data in accordance with a non-differentiable cost function, comprising: receiving a set of input data from a data store, the set of input data is returned as a result of a search query and comprises at least one of one or more web pages, one or more text files, one or more images, one or more audio data files, video data or word processing files; obtaining at least one estimated gradient based at least in part upon the structured data and at least one requirement of the cost function, wherein the estimated gradient indicates an amount and direction of adjustment of the learning system output; updating at least one parameter of the machine learning system based upon the at least one estimated gradient; and generating from the learning system structured data comprising updated rankings for the input data based at least on the one updated parameter.