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Livres Livres 1 - 10 sur 10 pour In RP Lippmann, JE Moody, & DS Touretzky (Eds.), Advances in neural information processing....
" In RP Lippmann, JE Moody, & DS Touretzky (Eds.), Advances in neural information processing systems (Vol. 3, pp.649-655). San Mateo, CA: Morgan Kaufmann. Kruse, JM, Overmier, JB, Konz, WA, & Rokke, E. (1983). Pavlovian conditioned stimulus effects upon... "
Computational Explorations in Cognitive Neuroscience: Understanding the Mind ... - Page 483
de Randall C. O'Reilly, Yuko Munakata - 2000 - 504 pages
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Contemplating Minds: A Forum for Artificial Intelligence

William J. Clancey, Stephen W. Smoliar, Mark Stefik - 1994 - 543 pages
...on Simulation of Adaptive Behavior (Mil Press, 1993). [13] AS Weigend, DE Rumelhart and BA Huberman, Generalization by weight-elimination with application to forecasting, in: RP Lippmann, JE Moody and DS Touretzky, eds., Advances in Neural Information Processing 3 (Morgan Kaufmann, San Mateo, CA,...
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Pattern Recognition and Neural Networks

Brian D. Ripley, N. L. Hjort - 1996 - 403 pages
...Modeling and Forecasting, eds M. Casdagli & S. Eubank, pp. 395432. Redwood City, CA: Addison-Wesley. Weigend. AS. Rumelhart. DE & Huberman. BA (1991) Generalization...weight-elimination with application to forecasting, In NIPS3, pp. 875-882. Weiss. SM ( 1 99 1 ) Small sample error rate estimation for *-NN classifiers. IEEE...
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Mathematical Methods for Neural Network Analysis and Design

Richard M. Golden - 1996 - 419 pages
...on Neural Networks, vol. I, pp. 619-628. Piscataway. NJ: IEEE Press. Weigend, AS, Rumelhart. DE. and Huberman, BA (1991). Generalization by weightelimination...application to forecasting. In RP Lippmann. JE Moody, and DS Touretzky (Eds.), Advances in neural information-processing systems 3 (pp. 875-882). San Mateo....
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Mathematical Perspectives on Neural Networks

Paul Smolensky, Michael C. Mozer, David E. Rumelhart - 1996 - 862 pages
...NJ: Lawrence Erlbaum Associates. Wechsler, H. (1990). Computational vision. San Diego, CA: Academic. Weigend, AS, Rumelhart, DE, & Huberman, BA (1991). Generalization by weight-elimination with applications to forecasting. In Advances in neural information processing systems. Vol. 3 (pp. 875-882)....
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Animal Learning and Cognition: An Introduction

John M. Pearce - 1997 - 333 pages
...15-230). New York: Garland. Kruschke, JK (1992). ALCOVE: A connectionist model of human category learning. In RP Lippmann, JE Moody, & DS Touretzky (Eds.), Advances in neural information processing systems (Vol. 3, pp.649-655). San Mateo, CA: Morgan Kaufmann. Kruse, JM, Overmier, JB, Konz, WA, & Rokke, E....
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Musical Networks: Parallel Distributed Perception and Performance

Niall Griffith, Peter M. Todd, Research Scientist Peter M Todd - 1999 - 385 pages
...Press. Mozer, MC (1991) Connectionist music composition based on melodic and stylistic constraints. In RP Lippmann, JE Moody & DS Touretzky (Eds), Advances in Neural Information Processing, 3, pp. 789-796. Los Altos, CA: Morgan Kaufmann. Oswald, J. (Ed.) (1973) Harmony: Schenkerian Analysis....
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Papers in Laboratory Phonology V: Acquisition and the Lexicon

Conference on Laboratory Phonology - 2000 - 400 pages
...Kawato & R. Suzuki. 1992. Simulation of optimal movements using the Minimum-Muscle-Tension-Change Model. In RP Lippmann, JE Moody & DS Touretzky (eds.) Advances in Neural Information Processing Systems 4. San Mateo, CA: Morgan Kaufmann. DuBois, J. 1985. Competing motivations. In John Haiman (ed.) Iconicity...
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Prerational Intelligence: Adaptive Behavior and Intelligent ..., Volume 2

Holk Cruse, Jeffrey Dean, Helge Ritter - 2000 - 1676 pages
...347-361. Amsterdam: North Holland. Weigend, AS, DE Rumelhart, & BA Huberman (1991). Generalisation by weightelimination with application to forecasting. In RP Lippmann, JE Moody, & ES Touretzky (eds.), Advances in neural information systems 3 (pp. 875-885). San Mateo, CA: Morgan...
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Clinical Applications of Artificial Neural Networks

Richard Dybowski, Vanya Gant - 2001 - 368 pages
...1-12. Hayashi, Y. (1990). A neural expert system with automated extraction of fuzzy if-then rules. In RP Lippmann, JE Moody & DS Touretzky, eds., Advances in Neural Information Processing Systems (NIPS *90), vol. 3. Morgan Kaufmann, San Mateo, CA, pp. 578-584. Holte, RC (1993). Very simple classification...
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Machine Learning and Data Mining: Introduction to Principles and Algorithms

Igor Kononenko, Matjaž Kukar - 2007 - 454 pages
...Jones. Kernel Smoothing. Chapman and Hall, London, 1995. AS Weigend, DE Rumelhart, and BA Huberman. Generalization by weight-elimination with application to forecasting. In RP Lippmann. JE Moody, and DS Touretzky, editors, Advances in Neural Information Processing Systems 3, pages 875-882. San...
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