Large-scale distributed L-BFGS

Large-scale distributed L-BFGS

Abstract With the increasing demand for examining and extracting patterns from massive amounts of data, it is critical to be able to train large models to fulfill the needs that recent advances in the machine learning area create. L-BFGS (Limited-memory Broyden Fletcher Goldfarb Shanno) is a numeric...

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Bibliographic Details
Main Authors: Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre, John Holt
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:Journal of Big Data
Subjects:
Large-scale L-BFGS implementation
Parallel and distributed processing
HPCC systems
Online Access:http://link.springer.com/article/10.1186/s40537-017-0084-5

Internet

http://link.springer.com/article/10.1186/s40537-017-0084-5

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