Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Reference19 articles.
1. Rumelhart, D. E., Hinton, G. E., and Williams, R. J., “Learning Representations by Back-Propagating Errors,”Nature, 323–9, pp. 533–536, 1986.
2. Rumelhart, D. E., Hinton, G. E., and Williams, R. J., “Learning Internal Representations by Error Propagation,” inParallel Distributed Processing, Vol. 1 (McCleland, J. L., Rumelhart, D. E., and The PDP Research group, ed.), Cambridge, MA, MIT Press, 1986.
3. Richard, M. D. and Lippmann, R. P., “Neural Network Classifiers Estimate Bayesiana posteriori Probabilities,”Neural Computation, 3, 4, pp. 461–483, 1991.
4. Baum, E. B. and Wilczek, F., “Supervised Learning of Probability Distributions by Neural Networks,” inNeural Information Processing Systems (D. Anderson, ed.), American Institute of Physics, New York, pp. 52–61, 1988.
5. Hinton, G. E., “Connectionist Learning Procedures,”Artificial Intelligence, 40, pp. 185–234, 1989.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献