The study of machine learning within the mathematical framework of complexity theory has seen great strides in just a few short years, spurred on by the tremendous rise in interest from engineers studying control to analysts predicting financial market activity. Based on the first European Conference on Computational Learning Theory, and including a number of invited contributions, Computational Learning Theory offers an outstanding overview of the subject, with topics ranging from results inspired by neural network research to those originating from more classical artificial intelligence approaches. It will appeal to students and researchers in applied mathematics, computer science, and cognitive science.
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John Shawe-Taylor, Department of Computer Science, Royal Holloway, University of London. Martin Anthony, Lecturer in Mathematics, London School of Economics and Political Science.
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New! Hard bound in rust cloth with bright silver titles, first edition, xi + Pp239. A new, unread copy without a dust jacket. 560 grams. A volume from The Institute of Mathematics & Its Applications Conference Series; New Series, Number 53. Seller Inventory # 5421
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