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Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer
Publisher: Westview Press

Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol 34(5), Sep 2008, 1111-1122. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Free download ebook Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity) pdf. Barnden (Eds.), Advances in connectionist and neural computation theory: Vol. John Hertz, Anders Krogh, and Richard G. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ. Lee, Hee Seung; Holyoak, Keith J. Taskar (Eds.), Introduction to statistical relational learning (pp. This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden.