Patent ID: 6449603
Filing Date: 2002-09-10
Classification: G06K,G06N

Abstract:
A computer-implemented method of producing a computer-executable prediction method, the computer-implemented method comprising:providing training data related to a problem for which a computer-executable prediction method is sought, the training data comprising multiple empirical observations represented by features with values and values for observed event outcomes associated with the feature values stored in a computer-readable medium; providing at least two software-based computer-executable learning agents, the software-based computer-executable agents including initial input representations of the training data; training the software-based computer-executable learning agents on the initial input representations of the training data, the software-based computer-executable agents producing in response to the data an initial population of computer-executable prediction methods based on the agents' initial input representations of the training data; extracting one or more features from the initial population of computer-executable prediction methods produced by the learning agents for combination into one or more feature combinations; modifying the input representation of at least one of the software-based computer-executable learning agents by including in the input representation at least one of the feature combinations originating from the prediction method of another software-based computer-executable learning agent; and again training the software-based computer-executable learning agents on the modified input representations of the training data to cause the software-based computer-executable learning agents to produce at least one next generation computer-executable prediction method based on the modified agents' input representations, wherein the next generation computer-executable prediction method comprises a set of computer-executable instructions stored in a computer-readable medium and returns a result.