作者：
Bofinger, EveHayter, Anthony J.Wei LiuHonorary Fellow
Department of Mathematics Statistics and Computing Science University of New England Armidate New South Wales 2351 Australia Professor
School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta GA 30332-0205 Lecturer
Department of Mathematics University of Southampton 509 5NH United Kingdom
This article considers the construction of an upper confidence bound on the range of a set of k location parameters, such as the k treatment effects in a one-way layout. This confidence bound will be useful to the exp...
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This article considers the construction of an upper confidence bound on the range of a set of k location parameters, such as the k treatment effects in a one-way layout. This confidence bound will be useful to the experimenter in assessing the 'equivalence' of the location parameters. Some general theoretical results are presented and the case of normally distributed data is considered in detail, with accompanying tables of confidence bounds. Some examples of the application of this new inference method are given. [ABSTRACT FROM AUTHOR]
The implementation details of a Lisp environment built on top of a distributed operating system are presented. The system provides transparent distribution, protected large-grain persistent heaps, concurrency within e...
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This paper critically studies approaches that use the theory of fuzzy sets for multi objective decision making with linear programming. Two main approaches are distinguished: one that converts the problem into a singl...
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The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The arc...
The implementation details of a Lisp environment built on top of a distributed operating system are presented. The system provides transparent distribution, protected large-grain persistent heaps, concurrency within e...
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The implementation details of a Lisp environment built on top of a distributed operating system are presented. The system provides transparent distribution, protected large-grain persistent heaps, concurrency within each environment and seamless sharing of Lisp data structures between separate environments.< >
Various types of cellular neural networks (CNNs) are summarized, and a taxonomy of CNNs is given according to the different types of grids, processors, interactions, and modes of operation. The CNN universal machine i...
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Various types of cellular neural networks (CNNs) are summarized, and a taxonomy of CNNs is given according to the different types of grids, processors, interactions, and modes of operation. The CNN universal machine is introduced. The architecture and the key features of the CNN universal machine are outlined. An exhaustive list of references is given.< >
For pt.I, see ibid., p.1-10 (1992). The programmability (as a stored program) of the CNN universal machine is discussed. It is shown why and in which sense this machine is universal. The analogic type of algorithm is ...
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For pt.I, see ibid., p.1-10 (1992). The programmability (as a stored program) of the CNN universal machine is discussed. It is shown why and in which sense this machine is universal. The analogic type of algorithm is introduced. The application potential is reviewed and the biological relevance is analyzed. It is shown that the architecture is optimal not only for silicon implementations, but also for many biological information processing organs that have the same structure.< >
Clouds LISP distributed environments (CLIDE) is a distributed, persistent object-based symbolic programming system being implemented on the Clouds distributed operating system. LISP environment instances are stored as...
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Clouds LISP distributed environments (CLIDE) is a distributed, persistent object-based symbolic programming system being implemented on the Clouds distributed operating system. LISP environment instances are stored as large-grained persistent objects, enabling users on many machines to share the contents of these environments through interenvironment evaluations. CLIDE provides a comprehensive research environment for distributed symbolic language, invocation and consistency semantics, and an implementation vehicle for the construction of the symbolic processing portions of complex megaprogrammed systems.< >
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