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Data-driven modeling method with reverse process
International Journal of Modeling, Simulation, and Scientific Computing, 2022The factors that affect the performance of the equipment are numerous and complicated, which makes it difficult to establish a performance calculation model. This paper puts forward a data-driven modeling method with reverse process for this problem. Based on the partial least squares (PLS) algorithm and the gray relational analysis (GRA) method, the ...
Guodong Yi +3 more
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A Comparison of Data-Driven Automatic Syllabification Methods
2009Although automatic syllabification is an important component in several natural language tasks, little has been done to compare the results of data-driven methods on a wide range of languages. This article compares the results of five data-driven syllabification algorithms (Hidden Markov Support Vector Machines, IB1, Liang's algorithm, the Look Up ...
Connie R. Adsett, Yannick Marchand
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Combining Symbolic and Data-Driven Methods for Goal Recognition
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2021Recently, there is an increased research interest in context-aware systems that are able to autonomously and intelligently support users with their tasks. An important feature of such systems is the ability to dynamically adapt to the current needs of their users.
Wilken, Nils +2 more
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Data‐driven projection method in fluid simulation
Computer Animation and Virtual Worlds, 2016AbstractPhysically based fluid simulation requires much time in numerical calculation to solve Navier–Stokes equations. Especially in grid‐based fluid simulation, because of iterative computation, the projection step is much more time‐consuming than other steps.
Cheng Yang, Xubo Yang, Xiangyun Xiao
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A Data-driven Method for Competency Evaluation of Personnel
Proceedings of the 3rd International Conference on Data Science and Information Technology, 2020Nowadays, human capital is very important for organizations. The organizations with more outstanding talents can often gain a foothold in the fierce competition. As a tool to measure talents' performance, competency model often plays a vital role in identifying and evaluating talents.
Jiting Li +4 more
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Recommending electricity plans: A data-driven method
2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016In this paper, a customized electricity retailing plan recommendation strategy is developed. Cost-effective retailing plans are recommended according to customer's electricity usage pattern. Usage pattern is recognized through classifying daily load profile (DLP) into a certain class, which is obtained in DLP clustering process.
Yuan Zhang 0011 +4 more
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Data Driven Statistical Methods
Technometrics, 2000A. Dale Magoun, Peter Sprent
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Data-driven methods in Rheology
Rheologica Acta, 2023Kyung Hyun Ahn, Safa Jamali
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Method for Data-Driven Pruning in Micropipeline Circuits
2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), 2023Cristiano Merio +5 more
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