Results 71 to 80 of about 359,739 (172)
The Crucial Role of the Initial State in MJO Prediction
Geophysical Research LettersThe Madden Julian Oscillation (MJO) is a key driver of intraseasonal predictability. Accurate prediction of the MJO is challenging partly due to its complex interactions with the background state and sensitivity to initial conditions and unresolved ...
L. Bengtsson +7 more
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Important advances in the meso-scale numerical heavy rainfall prediction model in China
暴雨灾害, 2019 The short-range numerical weather prediction model has been developed as a tool to forecast the torrential rainfall since it has the capability to describe the dynamic convergence, fundamental physics and the real topography reasonably when the ...
Rui CHENG +7 more
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Utilization of satellite data in mesoscale models of severe weather [PDF]
The impact of the diagnostic initialization of divergence on short-range precipitation forecasts produced by a model, a numerical study of a storm, collaborative modeling and diagnostic studies, and a numerical investigation of the impact of SEASAT ...
Warner, T. T.
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Data-Dependent Stability of Stochastic Gradient Descent
, 2018 We establish a data-dependent notion of algorithmic stability for Stochastic Gradient Descent (SGD), and employ it to develop novel generalization bounds.
Kuzborskij, Ilja, Lampert, Christoph H.
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On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design
SensorsVector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm ...
Verusca Severo +4 more
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MathematicsTo address real-world engineering design optimization problems, this study proposes a reinforcement learning enhanced multi-objective social network search algorithm (QMOSNS), which represents a novel approach for solving multi-objective optimization ...
Wei Peng, Zihan Li, Ji Li, Guoqing Hu
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Journal of Advances in Modeling Earth SystemsDynamical modeling is widely utilized for Antarctic sea ice prediction. However, the relative impact of initializing different model components remains unclear.
Yongwu Xiu +4 more
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A Two-stage Classification Method for High-dimensional Data and Point Clouds
, 2019 High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose a two-stage multiphase semi-supervised classification method for classifying high-dimensional data and unstructured point clouds.
Cai, Xiaohao +3 more
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Extending the DEVS Formalism with Initialization Information
, 2018 DEVS is a popular formalism to model system behaviour using a discrete-event abstraction. The main advantages of DEVS are its rigourous and precise specification, as well as its support for modular, hierarchical construction of models.
Van Tendeloo, Yentl, Vangheluwe, Hans
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