Results 1 to 10 of about 104,118 (299)
Fisher Score Fast Multi-Label Feature Selection Algorithm Based on Text Classification [PDF]
Jisuanji gongcheng, 2022 Fisher Score(FS) is a fast and efficient indicator to evaluate feature classification performance.However, the traditional FS indicator can not be directly applied to multi-label learning, nor effectively deal with the error between the class center and ...
WANG Zhengkai, SHEN Dongsheng, WANG Chenxi
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Proceedings of the Workshop on Hot Topics in Operating Systems, 2019 Granular computing is a new style of computing where applications are composed of large numbers (thousands to millions) of very short-lived (10-100μs) tasks. Today's systems and infrastructure were designed to support millisecond-scale operations and are inadequate to meet the demands of granular computing.
Collin Lee, John Ousterhout
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Interactive granular computing [PDF]
Granular Computing, 2016 Abstract Decision support in solving problems related to complex systems requires relevant computation models for the agents as well as methods for reasoning on properties of computations performed by agents. Agents are performing computations on complex objects [e.g., (behavioral) patterns, classifiers, clusters, structural objects, sets of ...
Skowron, Andrzej +2 more
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Video Tracking Method Using Multi-granularity Correlation Filters [PDF]
Jisuanji gongcheng, 2020 Video tracking is an important direction in research of computer vision.Many tracking algorithms achieve high performance by integrating multiple types of features,but most of them fail to fully exploit the granularity relationship between multiple ...
SHEN Zejun, DING Feifei, YANG Wenyuan
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Research on the standardization strategy of granular computing
International Journal of Cognitive Computing in Engineering, 2023 As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization.
Donghang Liu +7 more
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Research on Granular Conversion Computing in Algebraic Quotient Space [PDF]
Jisuanji kexue yu tansuo, 2022 Granular computing is a problem processing paradigm based on multi-level structure, which has attracted extensive attention of domestic and foreign scholars in recent years.
WEI Zongxuan, WANG Jiayang
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A Granular Computing Based Classification Method From Algebraic Granule Structure
IEEE Access, 2021 Classification, as one of the main task of machine learning, corresponds to the core work of granular computing, namely granulation. Most of granular computing models and related classification methods are uniquely classifying by granule features, but ...
Linshu Chen +4 more
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Granular computing on basic digraphs
Applicable Analysis and Discrete Mathematics, 2022 In the present paper we investigate (p, q)-directed complete bipartite graphs ?K p,q, n-directed paths ?Pn and n-directed cycles ?C n from the perspective of Granular Computing. For each model, we establish the general form of all possible indiscernibility relations, analyze the classical rough approximation functions of rough set theory and provide a ...
Chiaselotti G., Gentile T., Infusino F.
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International Journal of Crowd Science, 2021 PurposeArtificial intelligence is gradually penetrating into human society. In the network era, the interaction between human and artificial intelligence, even between artificial intelligence, becomes more and more complex.
Jianran Liu, Bing Liang, Wen Ji
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Relational representations of algebraic lattices and their applications
Open Mathematics, 2022 In this paper, we define the concepts of strongly regular relation, finitely strongly regular relation, and generalized finitely strongly regular relation, and get the relational representations of strongly algebraic, hyperalgebraic, and quasi ...
Luo Shuzhen, Xu Xiaoquan
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