A loosely collaborative dependency framework for a fast adaptive agent model using extended RSVD
This paper proposes a loosely dependent agent model, where the underlying training is based on a collaborative filtering, i.e., an extended Regularized Singular Value Decomposition (RSVD) technique. Such software agents normally act as a cooperative assistant to carry out some tasks on behalf of the...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Indian Society for Development and Environment Research
2015
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84879751476&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38694 |
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| Institution: | Chiang Mai University |