Forward Models: Supervised Learning with a Distal Teacher
Michael I. Jordan, David E. Rumelhart
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Simple statistical gradient-following algorithms for connectionist reinforcement learning→Forward Models: Supervised Learning with a Distal TeacherLegacy edge — source detail unavailable
- Introduction to the theory of neural computation→Forward Models: Supervised Learning with a Distal TeacherLegacy edge — source detail unavailable
- Neural networks for control systems—A survey→Forward Models: Supervised Learning with a Distal TeacherLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Advances in Neural Information Processing Systems 37Legacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Adaptive Signal ProcessingLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Self-organization in a perceptual networkLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Competitive Learning: From Interactive Activation to Adaptive ResonanceLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→The Foundations of Cognitive ScienceLegacy edge — source detail unavailable
- Forward Models: Supervised Learning with a Distal Teacher→Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…Legacy edge — source detail unavailable
- Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
- Neural networks for control systems—A survey→Identification and control of dynamical systems using neural networksLegacy edge — source detail unavailable
- Neural networks for control systems—A survey→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Neural networks for control systems—A survey→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Learning to Predict by the Methods of Temporal Differences→Adaptive Signal ProcessingLegacy edge — source detail unavailable
- Learning to Predict by the Methods of Temporal Differences→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Simple statistical gradient-following algorithms for connectionist reinforcement learning→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Simple statistical gradient-following algorithms for connectionist reinforcement learning→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Simple statistical gradient-following algorithms for connectionist reinforcement learning→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Self-organization in a perceptual network→Adaptive Signal ProcessingLegacy edge — source detail unavailable
- Competitive Learning: From Interactive Activation to Adaptive Resonance→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
- Learning to predict by the methods of temporal differences→Adaptive Signal ProcessingLegacy edge — source detail unavailable
- Learning to predict by the methods of temporal differences→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Neural dynamics and brain function | Neuroscience |
| Evolutionary Algorithms and Applications | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports55 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 88a60cdbb94c6a13…