Preface to the Special Issue on Connectionist Symbol Processing
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[1] John S. Bridle,et al. Alpha-nets: A recurrent 'neural' network architecture with a hidden Markov model interpretation , 1990, Speech Commun..
[2] Geoffrey E. Hinton,et al. Distributed Representations , 1986, The Philosophy of Artificial Intelligence.
[3] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[4] David Haussler,et al. What Size Net Gives Valid Generalization? , 1989, Neural Computation.
[5] Lokendra Shastri,et al. A Connectionist Approach to Knowledge Representation and Limited Inference , 1988, Cogn. Sci..
[6] J. Fodor,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[7] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[8] Jerome A. Feldman,et al. Neural Representation of Conceptual Knowledge. , 1986 .
[9] Geoffrey E. Hinton,et al. Learning and relearning in Boltzmann machines , 1986 .
[10] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[11] D. Rumelhart. Learning internal representations by back-propagating errors , 1986 .
[12] Leslie G. Valiant,et al. A theory of the learnable , 1984, CACM.
[13] T. Kohonen. Self-organized formation of topographically correct feature maps , 1982 .
[14] Raj Reddy,et al. The HEARSAY Speech Understanding System , 1974 .