Unsupervised Learning PDF
By:Geoffrey E. Hinton,Terrence Joseph Sejnowski,Howard Hughes Medical Institute Computational Neurobiology Laboratory Terrence J Sejnowski
Published on 1999 by MIT Press
Introduction; Unsupervised learning; Local synaptic learning rules suffice to maximize mutual information in a linear network; Convergent algorithm for sensory receptive field development; Emergence of position-independent detectors of snese of rotation and dilation with hebbian learning: an analysis; Learning invariance from transformation sequences; Learning perceptually salient visual parameters using spatiotemporal smoothness constraints; Wht is the goal of sensory coding?; An information-maximization approach to blind separation and blid deconvolution; Natural gradient works efficiently in learning; A fast fixed-point algorithm for independent component analysis; Feature extraction using an unsupervised neural network; Learning mixture models of spatial coherence; Baynesian self-organization driven byprior probability distributions; Finding minimum entropy codes; Learning population codes by minimizing description lengththe Helmholtz machine; factor analysis using delta-rule wake-sleep learning; Dimension reduction by local principal component analysis; A resource-allocating network for function interpolation; 20. Learning with preknowledge: clustering with point and graph matching distance measures; 21. Learning to generalize from single examples in the dynamic ling architecture; Index.
This Book was ranked at 3 by Google Books for keyword medical computer applications anonymized.
Book ID of Unsupervised Learning's Books is yj04Y0lje4cC, Book which was written byGeoffrey E. Hinton,Terrence Joseph Sejnowski,Howard Hughes Medical Institute Computational Neurobiology Laboratory Terrence J Sejnowskihave ETAG "kx2wcEmbrP4"
Book which was published by MIT Press since 1999 have ISBNs, ISBN 13 Code is 9780262581684 and ISBN 10 Code is 026258168X
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Book which have "398 Pages" is Printed at BOOK under CategoryMedical
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