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Title: Method of generating features optimal to a dataset and classifier

Patent ·
OSTI ID:1329308

A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
Assignee:
BATTELLE MEMORIAL INSTITUTE (Richland, WA)
Patent Number(s):
9,471,871
Application Number:
14/186,740
OSTI ID:
1329308
Resource Relation:
Patent File Date: 2014 Feb 21
Country of Publication:
United States
Language:
English

References (4)

Crossover and mutation operators for grammar-guided genetic programming journal December 2006
Object Detection via Feature Synthesis Using MDL-Based Genetic Programming journal June 2005
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection journal August 2005
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
  • Leather, Hugh; Bonilla, Edwin; O'Boyle, Michael
  • 2009 7th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2009 International Symposium on Code Generation and Optimization https://doi.org/10.1109/CGO.2009.21
conference March 2009