Patent · US Active

Distributed decision tree training

US8543517B2 · kind B2 · utility

18Cited by
5References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJun 9, 2010
Grant dateSep 24, 2013
Priority date
Expiry dateDec 22, 2031

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N5/01
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A computerized decision tree training system may include a distributed control processing unit configured to receive input of training data for training a decision tree. The system may further include a plurality of data batch processing units, each data batch processing unit being configured to evaluate each of a plurality of split functions of a decision tree for respective data batch of the training data, to thereby compute a partial histogram for each split function, for each datum in the data batch. The system may further include a plurality of node batch processing units configured to aggregate the associated partial histograms for each split function to form an aggregated histogram for each split function for each of a subset of frontier tree nodes and to determine a selected split function for each frontier tree node by computing the split function that produces highest information gain for the frontier tree node.

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