Titlebook: Computing in the 90‘s; The First Great Lake Naveed A. Sherwani,Elise Doncker,John A. Kapenga Conference proceedings 1991 Springer-Verlag Be

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Models For Nonstationary Time Series,roblems arise when the spectral samples of interest are intermittent and contain temporal patterns of alternating periods of sounds and pauses that are significant for recognition. In such cases a recognizer must be capable of distinguishing between the end-points and the pauses of digitized samples

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https://doi.org/10.1007/978-0-387-75959-3meters of the system domain. The objective of this paper is to develop the statistical evaluation methodology needed to assess the performance of medical expert systems including MEDAS — the Medical Emergency Decision Assistance System. The measures of performance are selected so as to have an opera

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Models For Nonstationary Time Series,representation scheme that facilitates the storage and retrieval of factual and inferential data through a massively-interlinked network of propositional information. Inferential analysis is handled by an organized matrix of predicate-based inferences that uses forward chaining to deduce new proposi

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Jonathan D. Cryer,Kung-Sik Chanpends on the successful solution to three subproblems: creation of categories, determining the relationship between categories, and maintenance of the categorization system. In existing document categorization systems, the categories are formed by using hit and trial methods. This increases the init

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