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  • 1
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    In:  Other Sources
    Publication Date: 2011-08-24
    Description: The problems of misleading performance reporting and the evident lack of careful refereeing in the supercomputing field are discussed in detail. Included are some examples that have appeared in recently published scientific papers. Some guidelines for reporting performance are presented the adoption of which would raise the level of professionalism and reduce the level of confusion in the field of supercomputing.
    Keywords: COMPUTER SYSTEMS
    Type: In: Supercomputing '92; Proceedings of the Conference, Minneapolis, MN, Nov. 16-20, 1992 (A94-10682 01-62); p. 155-158.
    Format: text
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  • 2
    Publication Date: 2013-08-31
    Description: Similarity networks are a powerful form of knowledge representation that are useful for many artificial intelligence applications. Similarity networks are used in applications ranging from information analysis and case based reasoning to machine learning and linking symbolic to neural processing. Strengths of similarity networks include simple construction, intuitive object storage, and flexible retrieval techniques that facilitate inferencing. Therefore, similarity networks provide great potential for space applications.
    Keywords: COMPUTER SYSTEMS
    Type: NASA. Marshall Space Flight Center, Third Conference on Artificial Intelligence for Space Applications, Part 1; p 279-284
    Format: application/pdf
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