Recursive Algorithm for LASSO
Author:
Affiliation:
1. Tokyo Metropolitan Industrial Technology Research Institute
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/136/7/136_915/_pdf
Reference16 articles.
1. (1) A. Noor, E. Serpedin, M. Nounou, and H. N. Nounou: “Inferring Gene Regulatory Networks via Nonlinear State-Space Models and Exploiting Sparsity”, IEEE/ACM Trans. on Computational Biology and Bioinformatics, Vol. 9, No. 4, pp. 1203-1211 (2012)
2. (2) C. Novara: “Sparse Identification of Nonlinear Functions and Parametric Set Membership Optimality Analysis”, IEEE Trans. on Automatic Control, Vol. 57, No. 12, pp. 3236-3241 (2012)
3. (3) C. R. Rojas, R. Tóth, and H. Hjalmarsson: “Sparse Estimation of Polynomial and Rational Dynamical Model”, IEEE Trans. on Automatic Control, Vol. 59, No. 11, pp. 2962-2977 (2014)
4. (4) M. Gallieri and J. M. Maciejowski: “lasso MPC: Smart Regulation of over-actuated Systems”, Proc. 2012 American Control Conference, pp. 1217-1222 (2012)
5. (5) J. Mattingley and S. Boyd: “Real-time convex optimization in signal processing-Recent advances that make it easier to design and implement algorithms-”, IEEE Signal processing magazine (2010)
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