Patent ID: 7386165

Claim:
A method for analyzing input data-space by learning one or more classifiers, the method comprising the steps of: selecting, iteratively, a candidate to be permanently added to an expansion set based on leave-one-out errors of candidates temporarily added to the expansion set; and determining the one or more classifiers using the candidates permanently added to the expansion set, wherein selecting the candidate to be permanently added to the expansion set comprises, choosing for each candidate a different random candidate subset from a predetermined training data-set that is used to analyze the input data-space, wherein the candidate subset comprising candidates; adding, sequentially, one or more candidates temporarily from the candidate subset to the expansion set to generate a new kernel space for the input data-space by predetermined repeated evaluations of leave-one-out errors for the candidates added to the expansion set; removing the candidates temporarily added to the expansion set after the leave-one-out error evaluations are performed.