Results 261 to 270 of about 100,287 (312)
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Granular resolution and granular reasoning

2009 IEEE International Conference on Granular Computing, 2009
Granular resolution and granular reasoning are important research results on granular computing. The relationship between them is an interesting topic, which is studied in this paper. The investigations show that a G-resovlent sequence, the representation of granular resolution, is a sufficient condition for granular reasoning.
Lin Yan 0002, Qing Liu 0011
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Granular clustering: a granular signature of data

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2002
The study is devoted to a granular analysis of data. We develop a new clustering algorithm that organizes findings about data in the form of a collection of information granules-hyperboxes. The clustering carried out here is an example of a granulation mechanism.
Witold Pedrycz, Andrzej Bargiela
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Granular transport in driven granular gas

The European Physical Journal E, 2015
We numerically and theoretically investigate the behavior of a granular gas driven by asymmetric plates. The injection of energy in the dissipative system differs from one side to the opposite one. We prove that the dynamical clustering which is expected for such a system is affected by the asymmetry. As a consequence, the cluster position can be fully
Noirhomme, Martial   +3 more
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Granular parakeratosis

International Journal of Dermatology, 2008
A healthy 62‐year‐old woman was referred to our dermatology department with a 1‐month history of a pruritic axillary eruption. On examination, multiple erythematous and brownish hyperkeratotic papules were seen in both axillae. Some of these lesions coalesced into plaques, with small areas of sparing, and a background erythematous color was also found ...
José M, Martín   +5 more
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Granular Regression

2006
We augment a linear regression procedure by a thruth-functional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line.
B. Apolloni   +3 more
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Granular algebra for modeling granular systems and granular computing

2009 8th IEEE International Conference on Cognitive Informatics, 2009
Granular computing provides a new perspective on computing architectures and behaviors. This paper presents a recent development in denotational mathematics known as granular algebra, which enables a rigorous treatment of computing granules as a generic abstract mathematical structure and granular behaviors as a set of algebraic operations. An abstract
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Granule, granular set and granular system

2009 IEEE International Conference on Granular Computing, 2009
This paper, based on the author's new model of granular computing — the theory of granular set, offers firstly the definition of granule, and describes the form of four-tuple array of granule, then puts forward the concept of object granular set, description granular set, granular set, object granular system, description granular system, granular ...
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Situation Granularity

2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2018
Granular computing is emerging as a new theory of computation based on representing and processing basic chunks of data, namely the information granules. Granular computing shares many concept and principles with the situation awareness paradigm, as both are focused on supporting the human capabilities of processing information, solving problems and ...
Giuseppe D'Aniello, Matteo Gaeta
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Dynamic Multi-Granularity Translation System: DAG-Structured Multi-Granularity Representation and Self-Attention

open access: yesSystems
In neural machine translation (NMT), the sophistication of word embeddings plays a pivotal role in the model’s ability to render accurate and contextually relevant translations.
Bo Yang, Ruiyang Wang, Jiawei Tian
exaly   +2 more sources

On the notion of granularity

The Journal of Supercomputing, 1988
Granularity is a well known concept in parallel processing. While intuitively, the distinction between coarse-grain and fine-grain paralellism is clear, there is no rigorous definition. This paper develops two notions of granularity, each defined formally and represented by a single rational number. The two notions are compared and contrasted with each
Clyde P. Kruskal, Carl H. Smith
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