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ORCIDDavid E. Rumelhart
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- affiliation: Stanford University, USA
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1990 – 1999
- 1998
[c10]Christine L. Lisetti, David E. Rumelhart:
Facial Expression Recognition Using a Neural Network. FLAIRS 1998: 328-332- 1994
- [j9]David E. Rumelhart, Bernard Widrow, Michael A. Lehr:
The Basic Ideas in Neural Networks. Commun. ACM 37(3): 87-92 (1994) - [j8]Bernard Widrow, David E. Rumelhart, Michael A. Lehr:
Neural Networks: Applications in Industry, Business and Science. Commun. ACM 37(3): 93-105 (1994) - [j7]Horacio Franco, Michael Cohen, Nelson Morgan, David E. Rumelhart, Victor Abrash:
Context-dependent connectionist probability estimation in a hybrid hidden Markov model-neural net speech recognition system. Comput. Speech Lang. 8(3): 211-222 (1994) - 1993
- [c9]Daniel J. Rosen, David E. Rumelhart, Eric I. Knudsen:
A Connectionist Model of the Owl's Sound Localization System. NIPS 1993: 606-613 - 1992
- [j6]Michael I. Jordan, David E. Rumelhart:
Forward Models: Supervised Learning with a Distal Teacher. Cogn. Sci. 16(3): 307-354 (1992) - [c8]Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash:
Hybrid neural network/hidden Markov model continuous-speech recognition. ICSLP 1992: 915-918 - [c7]Michael Cohen, Horacio Franco, Nelson Morgan, David E. Rumelhart, Victor Abrash:
Context-Dependent Multiple Distribution Phonetic Modeling with MLPs. NIPS 1992: 649-657 - 1991
- [c6]Michael I. Jordan, David E. Rumelhart:
Internal World Models and Supervised Learning. ML 1991: 70-74 - [c5]James D. Keeler, David E. Rumelhart:
A Self-Organizing Integrated Segmentation and Recognition Neural Net. NIPS 1991: 496-503 - 1990
- [j5]Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart:
Predicting the Future: a Connectionist Approach. Int. J. Neural Syst. 1(3): 193-209 (1990) - [c4]James D. Keeler, David E. Rumelhart, Wee Kheng Leow:
Integrated Segmentation and Recognition of Hand-Printed Numerals. NIPS 1990: 557-563 - [c3]Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman:
Generalization by Weight-Elimination with Application to Forecasting. NIPS 1990: 875-882 - [p1]Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart:
Distributed Representations. The Philosophy of Artificial Intelligence 1990: 248-280
1980 – 1989
- 1989
- [b1]David E. Rumelhart:
Parallel distributed processing, 9th Edition. MIT Pr. 1989, ISBN 026268053X, pp. I-XX, 1-547 - [j4]Richard Durbin, David E. Rumelhart:
Product Units: A Computationally Powerful and Biologically Plausible Extension to Backpropagation Networks. Neural Comput. 1(1): 133-142 (1989) - [c2]Richard Durbin, David E. Rumelhart:
Product Units with Trainable Exponents and Multi-Layer Networks. NATO Neurocomputing 1989: 15-26 - 1985
- [j3]David E. Rumelhart, David Zipser:
Feature Discovery by Competive Learning. Cogn. Sci. 9(1): 75-112 (1985) - 1982
- [j2]David E. Rumelhart, Donald A. Norman:
Simulating a Skilled Typist: A Study of Skilled Cognitive-Motor Performance. Cogn. Sci. 6(1): 1-36 (1982) - 1980
- [j1]David E. Rumelhart:
On Evaluating Story Grammars. Cogn. Sci. 4(3): 313-316 (1980)
1970 – 1979
- 1973
- [c1]David E. Rumelhart, Donald A. Norman:
Active Semantic Networks as a Model of Human Memory. IJCAI 1973: 450-457
Coauthor Index
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