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Living on the Edge - Phase Transitions in Random Convex Programs
Joel Tropp
Video in druga učna gradiva
Oznake: computer science;optimization methods;machine learning;kernel methods;support vector machines;regularization;compressed sensing
Recent empirical research indicates that many convex optimization problems with random constraints exhibit a phase transition as the number of constraints increases. For example, this phenomenon emerges in the l1 minimization method for identifying a sparse vector from random linear samples. Indeed, ...
Leto: 2013 Vir: videolectures.net
Living on the edge: Phase transitions in convex programs with random data
Joel Tropp
Video in druga učna gradiva
Oznake: computer science;digital signal processing;machine learning;computational learning theory;deep learning;information theory;mathematics;statistics
Recent research indicates that many convex optimization problems with random constraints exhibit a phase transition as the number of constraints increases. For example, this phenomenon emerges in the `1 minimization method for identifying a sparse vector from random linear measurements. Indeed, th ...
Leto: 2014 Vir: videolectures.net
Št. zadetkov: 2
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