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ORCIDStuart Dreyfus
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- affiliation: University of California at Berkeley, Berkeley, CA, USA
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2020 – today
- 2023
[j12]Eiji Mizutani
, Stuart Dreyfus:
A tutorial on the art of dynamic programming for some issues concerning Bellman's principle of optimality. ICT Express 9(6): 1144-1161 (2023)- 2021
- [j11]Eiji Mizutani, Stuart Dreyfus:
On using dynamic programming for time warping in pattern recognition. Inf. Sci. 580: 684-704 (2021)
2010 – 2019
- 2017
- [j10]Eiji Mizutani, Stuart E. Dreyfus:
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains. Ann. Oper. Res. 258(1): 107-131 (2017) - 2010
- [c9]Eiji Mizutani, Stuart Dreyfus:
An analysis on negative curvature induced by singularity in multi-layer neural-network learning. NIPS 2010: 1669-1677
2000 – 2009
- 2008
- [j9]Eiji Mizutani, Stuart E. Dreyfus:
Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. Neural Networks 21(2-3): 193-203 (2008) - [j8]Eiji Mizutani, Stuart E. Dreyfus:
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]. Neural Networks 21(9): 1418 (2008) - 2007
- [c8]Eiji Mizutani, Stuart Dreyfus:
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning. IJCNN 2007: 1302-1307 - 2006
- [c7]Eiji Mizutani, Stuart Dreyfus:
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning. IJCNN 2006: 4762-4769 - 2005
- [c6]Eiji Mizutani, Stuart E. Dreyfus:
Stagewise Newton, differential dynamic programming, and neighboring optimum control for neural-network learning. ACC 2005: 1331-1336 - 2003
- [c5]Eiji Mizutani, Stuart E. Dreyfus:
On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains. CIRA 2003: 1-6 - 2002
- [j7]Stuart Dreyfus:
Richard Bellman on the Birth of Dynamic Programming. Oper. Res. 50(1): 48-51 (2002) - 2000
- [c4]Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio:
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application. IJCNN (2) 2000: 167-172
1990 – 1999
- 1995
- [j6]Hubert L. Dreyfus, Stuart E. Dreyfus:
Making a Mind vs. Modeling the Brain: AI Back at a Branchpoint. Informatica (Slovenia) 19(4) (1995) - 1992
- [j5]Hubert L. Dreyfus, Stuart E. Dreyfus:
What Artificial Experts Can and Cannot Do. AI Soc. 6(1): 18-26 (1992) - 1990
- [p1]Hubert L. Dreyfus, Stuart E. Dreyfus:
Making a Mind Versus Modelling the Brain. The Philosophy of Artificial Intelligence 1990: 309-333
1980 – 1989
- 1989
- [c3]Stuart Dreyfus:
Expert Human Beings, Competent Systems, and Competent Neural Networks. Wissensbasierte Systeme 1989: 1-11 - 1988
- [b1]Hubert L. Dreyfus, Stuart E. Dreyfus:
Mind over machine - the power of human intuition and expertise in the era of the computer. Free Press 1988, ISBN 978-0-02-908061-0, pp. I-XXI, 1-231 - [c2]Stuart E. Dreyfus:
Psychology, Philosophy, and Artificial Neural Nets. COMPCON 1988: 412 - 1986
- [j4]Hubert L. Dreyfus, Stuart E. Dreyfus:
Why Expert Systems Do Not Exhibit Expertise. IEEE Expert 1(2): 86-90 (1986) - [j3]Hubert L. Dreyfus, Stuart E. Dreyfus:
Competent systems: The only future for inference-making computers. Future Gener. Comput. Syst. 2(4): 233-243 (1986) - 1985
- [c1]Terry Winograd, Randall Davis, Stuart Dreyfus, Brian Cantwell Smith:
Expert Systems: How Far Can They Go? IJCAI 1985: 1306
1970 – 1979
- 1971
- [j2]Stuart E. Dreyfus, Robert A. Wagner:
The steiner problem in graphs. Networks 1(3): 195-207 (1971)
1960 – 1969
- 1969
- [j1]Stuart E. Dreyfus:
An Appraisal of Some Shortest-Path Algorithms. Oper. Res. 17(3): 395-412 (1969)
Coauthor Index
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