A Feasible Nonconvex Relaxation Approach to Feature Selection - researchr publication authors

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Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang. A Feasible Nonconvex Relaxation Approach to Feature Selection. In Wolfram Burgard, Dan Roth, editors, Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011. pages 356-361, AAAI Press, 2011. [doi]

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