Space efficient random decision forest models implementation utilizing automata processors
US10699213B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2016 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | Nov 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.