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AssigneeHealth Discovery Corporation
InventorsJason Aaron Edward Weston, Andre′ Elisseeff, Bernard Schoelkopf, Fernando Pérez-Cruz
Estimating the term…
In a pre-processing step prior to training a learning machine, pre-processing includes reducing the quantity of features to be processed using feature selection methods selected from the group consisting of recursive feature elimination (RFE), minimizing the number of non-zero parameters of the system (l0-norm minimization), evaluation of cost function to identify a subset of features that are compatible with constraints imposed by the learning set, unbalanced correlation score and transductive feature selection. The features remaining after feature selection are then used to train a learning machine for purposes of pattern classification, regression, clustering and/or novelty detection.
A computer readable medium having stored thereon one or more sequences of instructions for causing one or more microprocessors to perform the steps for executing a kernel machine for classifying data in a large dataset into two or more classes and for selecting a subset of features within the dataset for processing in the kernel machine, the steps comprising:
A computer readable medium having stored thereon one or more sequences of instructions for causing one or more microprocessors to perform the steps for selecting a subset of features from a plurality of features that describe attributes of the data points within a large dataset for processing in a kernel machine for recognition of patterns within the dataset, the steps comprising:
Dependencies are inferred from the claim text.