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Nominated by Carnegie Mellon University as an outstanding Ph.D. thesis
Provides an new direction of research into problems of extracting structure from data
Advances the science of structure discovery through sparsity
This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a"greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.