IEEE - Institute of Electrical and Electronics Engineers, Inc. - Random primal-dual proximal iterations for sparse multiclass SVM

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)

Author(s): G. Chierchia ; N. Pustelnik ; J.-C Pesquet
Sponsor(s): IEEE Signal Process. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2016
Conference Location: Vietri sul Mare, Italy
Conference Date: 13 September 2016
Page(s): 1 - 6
ISBN (Electronic): 978-1-5090-0746-2
DOI: 10.1109/MLSP.2016.7738833
Regular:

Sparsity-inducing penalties are useful tools in variational methods for machine learning. In this paper, we propose two block-coordinate descent strategies for learning a sparse multiclass support... View More

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