Method and system of creating an approximate kernel matrix to train a kernel machine
US7877339B2 · kind B2 · utility
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1References
13Claims
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Key dates
| Filing date | Jun 26, 2007 |
| Grant date | Jan 25, 2011 |
| Priority date | — |
| Expiry date | Nov 7, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system of creating an approximate kernel matrix to train a kernel machine. In one embodiment of the invention, a set of kernel machine training data is partitioned into a set of partitioned training data based on a set of partition parameters. The set of partition parameters includes one or more of, an axis-aligned grid location, or an axis-aligned grid resolution in one embodiment of the invention. A partition matrix that approximates a kernel machine kernel matrix is created from the set of partitioned training data and the partition matrix is used to train a kernel machine in one embodiment of the invention.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.