发明名称 |
Directional optimization via EBW |
摘要 |
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.
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申请公布号 |
US8527566(B2) |
申请公布日期 |
2013.09.03 |
申请号 |
US20100777768 |
申请日期 |
2010.05.11 |
申请人 |
KANEVSKY DIMITRI;NAHAMOO DAVID;RAMABHADRAN BHUVANA;SAINATH TARA N.;INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
KANEVSKY DIMITRI;NAHAMOO DAVID;RAMABHADRAN BHUVANA;SAINATH TARA N. |
分类号 |
G06F7/00 |
主分类号 |
G06F7/00 |
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