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Rumelhart (Eds.), Parallel Distributed Processing, 1, 318–362, MIT Press. Learning internal representations by error propagation. Rumelhart, D.E., Hinton, G.E., & Williams, R.J. Learning internal representations by backpropagating errors.
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Principles of Neurodynamics, Spartan Books, New York. Technical Report TR-47, Center for Computational Research in Economics and Management Science, Massachusetts Institute of Technology, Cambridge, MA.
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Advances in Neural Information Processing Systems, 2, 396–404, Morgan Kaufman.
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Handwritten digit recognition with a back-propagation network. LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., & Jackel, L.D.
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The glyph denotes the exported bundle identifier along with its full version. Each section is expandable via the glyph to provide detailed information about the exports and imports of each bundle.
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Cognitiva 85: A la Frontiere de l'Intelligence Artificielle des Sciences de la Connaissance des Neurosciences, 599–604, Paris. This update site provides access to the bundles listed below. Une procedure d'apprentissage pour reseau a seuil assymetrique. The use of multiple measurements in taxonomic problems. Methods of Mathematical Physics, Interscience, New York.įisher, R.A. Neural-network and k-nearest-neighbor classifiers. Proceedings of 12th International Conference on Pattern Recognition and Neural Network.īromley, J., & Sackinger, E. Comparison of classifier methods: A case study in handwritten digit recognition. Pittsburgh, ACM.īottou, L., Cortes, C., Denker, J.S., Drucker, H., Guyon, I., Jackel, L.D., LeCun, Y., Sackinger, E., Simard, P., Vapnik, V., & Miller, U.A. In Proceedings of the Fifth Annual Workshop of Computational Learning Theory, 5, 144–152. A training algorithm for optimal margin classifiers. Classification into two multivariate normal distributions with different covariance matrices. Automation and Remote Control, 25:821–837.Īnderson, T.W., & Bahadur, R.R. Theoretical foundations of the potential function method in pattern recognition learning.
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