초록 ▼

A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data

A system and method for enhancing knowledge discovery from data using multiple learning machines in general and multiple support vector machines in particular. Training data for a learning machine is pre-processed in order to add meaning thereto. Pre-processing data may involve transforming the data points and/or expanding the data points. By adding meaning to the data, the learning machine is provided with a greater amount of information for processing. With regard to support vector machines in particular, the greater the amount of information that is processed, the better generalizations about the data that may be derived. Multiple support vector machines, each comprising distinct kernels, are trained with the pre-processed training data and are tested with test data that is pre-processed in the same manner. The test outputs from multiple support vector machines are compared in order to determine which of the test outputs if any represents a optimal solution. Selection of one or more kernels may be adjusted and one or more support vector machines may be retrained and retested. When it is determined that an optimal solution has been achieved, live data is pre-processed and input into the support vector machine comprising the kernel that produced the optimal solution. The live output from the learning machine may then be post-processed into a computationally derived alphanumerical classifier for interpretation by a human or computer automated process.

대표청구항 ▼

[ What is claimed is:] [1.] A system for enhancing knowledge discovery using multiple support vector machines comprising:one or more storage devices for storing a training data set and a test data set;a plurality of processors each for executing one of a plurality a support vector machines, each of

[ What is claimed is:] [1.] A system for enhancing knowledge discovery using multiple support vector machines comprising:one or more storage devices for storing a training data set and a test data set;a plurality of processors each for executing one of a plurality a support vector machines, each of the support vector machines comprising a different kernel;a host processor for controlling the operation of each of the processors;the host processor further operable for:collecting the training data set from the database,pre-processing the training data set to add meaning to each of a plurality of training data points,inputting the pre-processed training data set into each of the support vector machines so as to train each of the support vector machines;in response to training of each of the support vector machines, collecting the test data set from the database,pre-processing the test data set in the same manner as was the training data set,inputting the test data set into each of the trained support vector machines in order to test each of the support vector machines, andin response to receiving each of the test outputs from each of the plurality of trained support vector machines, comparing each of the test outputs with each other to determine which if any of the test output is an optimal solution.