A Coordinate Descent Method for Robust Matrix Factorization and Applications
نویسندگان
چکیده
منابع مشابه
A Coordinate Descent Method for Robust Matrix Factorization and Applications
Matrix factorization methods are widely used for extracting latent factors for low rank matrix completion and rating prediction problems arising in recommender systems of on-line retailers. Most of the existing models are based on L2 fidelity (quadratic functions of factorization error). In this work, a coordinate descent (CD) method is developed for matrix factorization under L1 fidelity so th...
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Nonnegative matrix factorization (NMF) has attracted much attention in the last decade as a dimension reduction method in many applications. Due to the explosion in the size of data, naturally the samples are collected and stored distributively in local computational nodes. Thus, there is a growing need to develop algorithms in a distributed memory architecture. We propose a novel distributed a...
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ژورنال
عنوان ژورنال: SIAM Undergraduate Research Online
سال: 2016
ISSN: 2327-7807
DOI: 10.1137/15s014472