A loosely collaborative dependency framework for a fast adaptive agent model using extended RSVD

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:	Praserttitipong,D., Sophatsathit,P.
格式:	Article
出版:	Indian Society for Development and Environment Research 2015
主題:	Artificial Intelligence
在線閱讀:	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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