Encog: Library of Interchangeable Machine Learning Models for Java and C\#
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{JMLR:v16:heaton15a,
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author = "Jeff Heaton",
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title = "{Encog}: Library of Interchangeable Machine Learning
Models for {Java} and {C\#}",
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journal = "Journal of Machine Learning Research",
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year = "2015",
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volume = "16",
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pages = "1243--1247",
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month = jun,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1533-7928",
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URL = "http://www.jmlr.org/papers/v16/",
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URL = "http://jmlr.org/papers/v16/heaton15a.html",
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URL = "http://www.jmlr.org/papers/volume16/heaton15a/heaton15a.pdf",
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abstract = "This paper introduces the Encog library for Java and
C#, a scalable, adaptable, multi-platform machine
learning framework that was first released in 2008.
Encog allows a variety of machine learning models to be
applied to data sets using regression, classification,
and clustering. Various supported machine learning
models can be used interchangeably with minimal
recoding. Encog uses efficient multithreaded code to
reduce training time by exploiting modern multicore
processors. The current version of Encog can be
downloaded from www.encog.org.",
- }
Genetic Programming entries for
Jeff Heaton
Citations