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Adaptive projected subgradient method : ウィキペディア英語版 | Adaptive projected subgradient method
The adaptive projected subgradient method (APSM) is an algorithm, the goal of which is to minimize iteratively a sequence of cost functions.〔Slavakis, Konstantinos; Yamada, Isao (). ("The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning" ). Ithaca, New York: Cornell University.〕 This algorithmic "tool" is general and has been used in several tasks, such as: online/adaptive parameter estimation, online classification,〔Slavakis, Konstantinos, Sergios Theodoridis, and Isao Yamada. "Online kernel-based classification using adaptive projection algorithms." Signal Processing, IEEE Transactions on 56.7 (2008): 2781-2796.〕 〔OĞUZ, ÖZKAN. PERFORMANCE OF A NON-LINEAR ADAPTIVE BEAMFORMER ALGORITHM FOR SIGNAL-OF-INTEREST EXTRACTION. Diss. MIDDLE EAST TECHNICAL UNIVERSITY, 2015.〕 adaptive distributed learning,〔Chouvardas, Symeon, Konstantinos Slavakis, and Sergios Theodoridis. "Adaptive robust distributed learning in diffusion sensor networks." Signal Processing, IEEE Transactions on 59.10 (2011): 4692-4707.〕 just to name a few. The algorithm can be used in both linear and non-linear scenarios (using kernels). ==References==
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