GURLS: A Least Squares Library for Supervised Learning

We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non- specialists. It offers a number state-of-the-art training strategies for medium and large-scale learning, and routines f...

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Bibliographic Details
Main Authors: Tacchetti, Andrea (Contributor), Mallapragada, Pavan K. (Contributor), Santoro, Matteo (Author), Rosasco, Lorenzo (Author)
Other Authors: Massachusetts Institute of Technology. Center for Biological & Computational Learning (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2013-12-23T21:27:44Z.
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