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Learning Linear Dynamical Systems without Sequence Information
Tzu-Kuo Huang
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Oznake: computer science;machine learning
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of data generated from the dynamic system. In this paper we consider the case where the data is not sequenced. The learning a ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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