Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts-Reference-Cited by-同舟云学术

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Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts

Published:2007-08-22 Issue:1-2 Volume:25 Page:119-138
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Hélie Sébastien,Giguère Gyslain,Cousineau Denis,Proulx Robert

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-007-9024-7.pdf

Reference18 articles.

1. Bishop CM (1995). Neural networks for pattern recognition. Oxford University Press, New York

2. Corkill DD (1991). Blackboard systems. AI Experts 6: 40–47

3. DeLosh EL, Busemeyer JR and McDaniel MA (1997). Extrapolation: the sine qua non for abstraction in function learning. J Exp Psychol Learn Mem Cogn 23: 968–986

4. Epstein SL (1992). The role of memory and concepts in learning. Minds Machines 2: 239–265

5. Epstein SL (1994). For the right reasons: the FORR architecture for learning in a skill domain. Cogn Sci 18: 479–511

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1. Analysis of Psychological Shaping Function of Music Education under the Background of Artificial Intelligence;Journal of Environmental and Public Health;2022-09-09

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