Block coordinate descent algorithms for large-scale sparse multiclass classification

Author:

Blondel Mathieu,Seki Kazuhiro,Uehara Kuniaki

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Bach, F. R., Jenatton, R., Mairal, J., & Obozinski, G. (2012). Optimization with sparsity-inducing penalties. Foundations and Trends in Machine Learning, 4(1), 1–106.

2. Bakin, S. (1999). Adaptative regression and model selection in data mining problems. Ph.D. thesis, Australian National University.

3. Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2, 183–202.

4. Bertsekas, D. P. (1999). Nonlinear programming. Belmont: Athena Scientific.

5. Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In Proceedings of conference on learning theory (COLT) (pp. 144–152).

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