
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
Statistic modeling and datadriven learning are the two vital fields tha...
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Unconditionally stable exponential time differencing schemes for the massconserving AllenCahn equation with nonlocal and local effects
It is well known that the classic AllenCahn equation satisfies the maxi...
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Stabilized integrating factor RungeKutta method and unconditional preservation of maximum bound principle
Maximum bound principle (MBP) is an important property for a large class...
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Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
Encrypted deduplication combines encryption and deduplication to simulta...
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BigDataBench: A Dwarfbased Big Data and AI Benchmark Suite
As architecture, system, data management, and machine learning communiti...
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BOPS, Not FLOPS! A New Metric and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floatingpoint Operations per Second) as...
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BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floatingpoint Operations per Second), a...
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ExpertBayes: Automatically refining manually built Bayesian networks
Bayesian network structures are usually built using only the data and st...
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Jingwei Li
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