Adaptive CMOS: From Biological Inspiration to Systems-on-a-Chip (2002)


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by Chris Diorio , David Hsu , Miguel Figueroa
Citations:15 - 7 self

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764 Hierarchical mixtures of experts and the EM algorithm – Michael I. Jordan - 1994
562 Hidden Markov models in computational biology: applications to protein modeling РAnders Krogh, Michael Brown, I. Saira Mian, Kimmen Sjölander, David Haussler - 1994
807 Being There -- Putting Brain, Body, and World Together Again – Andy Clark - 1997
563 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
1405 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
498 Integrated architectures for learning, planning, and reacting based on approximating dynamic programming – Richard S. Sutton - 1990
486 Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory – James L. McClelland, Bruce L. McNaughton, Randall C. O'Reilly - 1995
6 Competitive Learning With Floating-Gate Circuits – David Hsu, Miguel Figueroa, Chris Diorio - 2002
384 Practical Issues in Temporal Difference Learning – Gerald Tesauro - 1992