Showing 41 - 60 results of 210 for search 'Timbaland~', query time: 4.38s Refine Results
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    Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network by Hang Yang, Simon Fong, Raymond Wong, Guangmin Sun

    Published 2013-01-01
    “…Standard classification algorithms are often inaccurate when used in a wireless sensor network (WSN), where the observed data occur in imbalanced classes. The imbalanced data classification problem occurs when the number of samples in one class, usually the class of interest, is much lower than the number in the other classes. …”
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  6. 46

    Cost-Sensitive Support Vector Machine Using Randomized Dual Coordinate Descent Method for Big Class-Imbalanced Data Classification by Mingzhu Tang, Chunhua Yang, Kang Zhang, Qiyue Xie

    Published 2014-01-01
    “…Cost-sensitive support vector machine is one of the most popular tools to deal with class-imbalanced problem such as fault diagnosis. However, such data appear with a huge number of examples as well as features. …”
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    On the Heating of the Slow Solar Wind by Imbalanced Alfvén-wave Turbulence from 0.06 to 1 au: Parker Solar Probe and Solar Orbiter Observations by Sofiane Bourouaine, Jean C. Perez, Benjamin D. G. Chandran, Vamsee K. Jagarlamudi, Nour E. Raouafi, Jasper S. Halekas

    Published 2024-01-01
    “…In this work we analyze plasma and magnetic field data provided by the Parker Solar Probe and Solar Orbiter missions to investigate the radial evolution of the heating of Alfvénic slow wind by imbalanced Alfvén-wave (AW) turbulent fluctuations from 0.06 to 1 au. in our analysis we focus on slow solar-wind intervals with highly imbalanced and incompressible turbulence (i.e., magnetic compressibility C _B = δ B / B ≤ 0.25, plasma compressibility C _n = δ n / n ≤ 0.25, and normalized cross helicity σ _c ≥ 0.65). …”
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  9. 49

    An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network by Sasan Azad, Mohammad Taghi Ameli

    Published 2025-03-01
    “…This causes the training database to be imbalanced and reduces the model's efficiency. This paper addresses these two challenges with the help of transfer learning (TL) and conditional tabular generative adversarial networks (CTGAN). …”
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