Name
Title | ||
|---|---|---|
Activation functions, computational goals, and learning rules for local processors with contextual guidance |
Abstract | ||
|---|---|---|
Information about context can enable local processors to discover latent variablesthat are relevant to the context within which they occur, and it can alsoguide short-term processing. For example, Becker and Hinton(1992) have shownhow context can guide learning, and Hummel and Biederman(1992) have shownhow it can guide processing in a large neural net for object recognition. Thispaper therefore studies the basic capabilities of a local processor with two distinctclasses of inputs :... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1162/neco.1997.9.4.895 | Neural Computation |
Keywords | Field | DocType |
activation function,contextual guidance,local processor,computational goal,object recognition,supervised learning,receptive field,transfer function,objective function,latent variable,neural net,unsupervised learning | Information theory,Disjoint sets,Computer science,Latent variable,Computability,Supervised learning,Unsupervised learning,Artificial intelligence,Artificial neural network,Machine learning,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
9 | 4 | 0899-7667 |
Citations | PageRank | References |
21 | 8.05 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jim Kay | 1 | 28 | 9.25 |
| William A. Phillips | 2 | 40 | 16.54 |