Patent ID: 7428337

Claim:
A method for automated selection of a parameterized operator sequence to achieve a pattern classification task, comprising die steps of: inputting a collection of labeled data patterns; deriving statistical descriptions of the inputted labeled data patterns; determining a criterion function which is used to derive classifier performances by performing the steps of: determining a classifier performance for each of a plurality of candidate operator sequences and corresponding parameter values using the derived statistical descriptions by performing the steps of: for each candidate operator sequence and corresponding parameter values, performing: constructing an Embeddable Markov Chain (EMC), given the derived statistical descriptions for the input data patterns and output statistic to be calculated; and calculating ouput statistics using the EMC, the output statistics a function of the derived statistical descriptions for the inputted data patterns and a Boolean transformation, identifying an optimal classifier performance among the determined classifier performances according to specified criteria; and selecting the operator sequence and corresponding parameter values, associated with the identified optimal classifier performance.