Directional optimization via EBW
AssigneeInternational Business Machines Corporation
InventorsDimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran, Tara N. Sainath
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AssigneeInternational Business Machines Corporation
InventorsDimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran, Tara N. Sainath
Estimating the term…
An optimization system and method includes determining a best gradient as a sparse direction in a function having a plurality of parameters. The sparse direction includes a direction that maximizes change of the function. This maximum change of the function is determined by performing an optimization process that gives maximum growth subject to a sparsity regularized constraint. An extended Baum Welch (EBW) method can be used to identify the sparse direction. A best step size is determined along the sparse direction by finding magnitudes of entries of direction that maximizes the function restricted to the sparse direction. A solution is recursively refined for the function optimization using a processor and storage media.
An optimization method, comprising:
A computer readable storage medium comprising a computer readable program for an optimization method, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
A system for optimization of a function with a large number of parameters, comprising:
Dependencies are inferred from the claim text.