Search Results - "non-convex iterative reweighted least squares algorithm"

Learning Transition Operators From Sparse Space-Time Samples: Learning transition operators from sparse space-time samples

Authors: Christian Kümmerle Mauro Maggioni Sui Tang

Source: IEEE Transactions on Information Theory. 70:6412-6446

Subject Terms: Signal theory (characterization, reconstruction, filtering, etc.), FOS: Computer and information sciences, Computer Science - Machine Learning, Toeplitz, Cauchy, and related matrices, non-convex iterative reweighted least squares algorithm, Computer Science - Information Theory, Information Theory (cs.IT), nonlinear inverse problem, Machine Learning (stat.ML), 02 engineering and technology, learning of transition operator from partial observations, block-Hankel matrices, 01 natural sciences, Probabilistic models, generic numerical methods in probability and statistics, Machine Learning (cs.LG), Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0101 mathematics, Mathematics - Optimization and Control, spatio-temporal transition operator recovery

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Access URL: http://arxiv.org/abs/2212.00746