Rumelhart, David E.

Learning representations by back-propagating errors

Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 31,892

Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations

Rumelhart, D. E., McClelland, J. L., & AU (1986) · The MIT Press eBooks

Neural Networks and ApplicationsCognitive Science and Education Research

Cited by 15,686

An interactive activation model of context effects in letter perception: I. An account of basic findings.

McClelland, J. L., & Rumelhart, D. E. (1981) · Psychological Review

Reading and Literacy DevelopmentVisual perception and processing mechanisms

Cited by 4,889

Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Psychological and Biological Models

McClelland, J. L., Rumelhart, D. E., & AU (1987) · The MIT Press eBooks

Neural Networks and ApplicationsCognitive Science and Education Research

Cited by 3,315

Learning internal representations by error propagation

RUMELHART, D. E., HINTON, G. E., & WILLIAMS, R. J. (1988) · Readings in Cognitive Science

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 3,002

NOTES ON A SCHEMA FOR STORIES

Rumelhart, D. E. (1975) · Representation and Understanding

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 1,671

Forward models: supervised learning with a distal teacher

Jordan, M. I., & Rumelhart, D. E. (1992) · Cognitive Science

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 1,451

Accretion, Tuning and Restructuring: Three Modes of Learning

Rumelhart, D. E., & Norman, D. A. (1976)

Memory Processes and InfluencesEducational methodologies and cognitive development

Cited by 609

Backpropagation

Chauvin, Y., & Rumelhart, D. E. (2013) · Psychology Press eBooks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 400