Regression using M-estimators and polynomial kernel support vector machines and principal component regression
US9658987B2 · kind B2 · utility
2Cited by
1References
20Claims
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Key dates
| Filing date | May 15, 2014 |
| Grant date | May 23, 2017 |
| Priority date | — |
| Expiry date | Aug 15, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the invention relate to sketching for M-estimators for performing regression. One embodiment includes providing one or more sets of input data. A matrix A and a vector b are generated using the input data. A processor device is used for processing the matrix A and the vector b based on a randomized sketching matrix S. A vector x that minimizes a normalized measure function is determined based on the matrix A and the vector b. A relationship between the input data is determined based on the vector x.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.