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Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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出版日:2009/07/31 作者:Ladjel Bellatreche  出版社:Information Science Reference  裝訂:精裝
The entire process of designing and using a data warehouse is detailed in this work, encompassing requirement specification, conceptual, logical, and physical design, and tuning and evolution manageme
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出版日:2016/04/30 作者:Natarajan Meghanathan (EDT)  出版社:Information Science Reference  裝訂:精裝
This work gathers international contributors in computer science, information systems, telecommunication engineering, and information technology to present the latest research in complex network analy
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出版日:2010/10/30 作者:L. Enrique Sucar (EDT); Eduardo F. Morales (EDT); Jesse Hoey (EDT)  出版社:Information Science Reference  裝訂:平裝
Different types of decision theory techniques are illustrated and their application illustrated in artificial intelligence. The topics include Bayesian networks and influence diagrams, inference strat
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出版日:2009/08/31 作者:Muthu Ramachandran; Rogerio Atem De Carvalho  出版社:Information Science Reference  裝訂:精裝
The 29 papers in this collection describe processes and frameworks for integrating requirements and software engineering, software tools and methods for supporting productivity, and the development of
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出版日:2017/06/16 作者:Rod D. Roscoe (EDT); Scotty D. Craig (EDT); Ian Douglas (EDT)  出版社:Information Science Reference  裝訂:精裝
Education, engineering, educational technology, and other researchers from the US provide 15 chapters on user experience design methods and the development of educational technology. In the first s
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出版日:2016/09/21 作者:Chunfang Zhou (EDT)  出版社:Information Science Reference  裝訂:精裝
Scholars of engineering, business, art, medicine, and other fields explore methods and technologies for teaching creative problem solving in higher education. They discuss the context of higher educat
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