Finding Structure in Time
Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implici...
Publications
3 shownRepresentation and Structure in Connectionist Models
Abstract : This paper focuses on the nature of representations in connectionist models. It addresses two issues: Can connectionist models develop representations which possess i...
Learning the hidden structure of speech
In the work described here, the backpropagation neural network learning procedure is applied to the analysis and recognition of speech. This procedure takes a set of input/outpu...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 10,875
- Institution
- University of California, San Diego
External Links
Identifiers
- ORCID
- 0000-0002-8072-2294
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.