Patent ID: 7970718
Filing Date: 2011-06-28
Classification: G06K,G06N,G16B

Abstract:
1. A method for estimating a subset of features falsely labeled “significant” within a group of features which appear able to separate a dataset comprising multiple examples into two or more classes, the method comprising: inputting the dataset into a computer adapted for implementing a support vector machine; separately for each feature of the group of features, assigning a value to the feature by: generating a list of the group of features and their calculated extremal margin values; before or after assigning a value to the feature, determining a probability of obtaining an extremal margin value that exceeds a normal distribution of extremal margin values by: selecting a desired p-value; determining from the table the specified extremal margin value corresponding to the desired p-value; identifying as falsely significant features the features on the list of the group of features that have an extremal margin value of less than the specified extremal value corresponding to the desired p-value; generating an output comprising a listing of the falsely significant features; and transferring the output to a media.