Patent · US Active

Distributed random binning featurization with hybrid two-level parallelism

US11080228B2 · kind B2 · utility

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2References
14Claims
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Key dates

Filing dateMar 13, 2017
Grant dateAug 3, 2021
Priority date
Expiry dateJul 11, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N20/10
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A random binning featurization process method, system, and computer program product for a distributed random binning featurization process on one or more multicore systems with a hybrid two-level parallelism, the method including in a training phase, receiving a first data matrix dividing the random binning featurization process into two orthogonal levels, in a high-level generating a randomized number of high-dimension grids and evenly partitioning the grids into nodes in a parallel system, and in a low-level, evenly partitioning dimensions in each grid to construct look-up tables of index vectors and compute a local feature matrix for each node.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.