Patent ID: 6882990

Claim:
A method for enhancing knowledge discovery using multiple support vector machines comprising: pre-processing a first training biological data set and a second training biological data set in order to add dimensionality to each of a plurality of training biological data points; training one or more first support vector machines using the first pre-processed training biological data set, each of the first support vector machines comprising different kernels; training one or more second support vector machines using the second pre-processed training data set, each of the second support vector machines comprising different kernels; pre-processing a first test biological data set in the same manner as was the first training biological data sets and pre-processing a second test biological data set in the same manner as was the second training biological data set; testing each of the first trained support vector machines using the first pre-processed test biological data set and testing each of the second trained support vector machines using the second pre-processed test biological data set; in response to receiving a first test output from each of the first trained support vector machines, comparing each of the first test outputs with each other to determine which if any of the first test outputs is a first optimal solution; in response to receiving a second test output from each of the second trained support vector machines, comparing each of the second test outputs with each other to determine which if any of the second test outputs is a second optimal solution; combining the first optimal solution with the second optimal solution to create a new input data set to be input into one or more additional support vector machines.