Titlebook: Neural Networks and Statistical Learning; Ke-Lin Du,M. N. S. Swamy Textbook 20141st edition Springer-Verlag London 2014 Data Mining, Data

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Nonnegative Matrix Factorization,ethod for matrix factorization, which gives the optimal low-rank approximation to a real-valued matrix in terms of the squared error. Many application areas, including information retrieval, pattern recognition, and data mining, require processing of binary rather than real data.

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Support Vector Machines, goal of SVM is to minimize the VC dimension by finding the optimal hyperplane between classes, with the maximal margin, where the margin is defined as the distance of the closest point in each class to the separating hyperplane. It has a general-purpose linear learning algorithm and a problem-speci

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Ke-Lin Du,M. N. S. Swamycame of age in the late thirties and forties, and had its most extensive expansion with the development of the transistor, integrated circuits, and microelectronics. Most of microelectr978-3-540-34933-4

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