Hasil Pencarian - "\"(((\"daya OR \"data) (dada\\" OR (dppada\" OR dpppada\"))) OR ((\"daya OR \"data) ada\\"))\""

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    IDENTIFIKASI DAN ESTIMASI SUMBER DAYA BATUBARA MENGGUNAKAN METODE POLIGON BERDASARKAN INTEPRETASI DATA LOGGING PADA LAPANGAN ”ADA”, SUMATERA SELATAN oleh Deddi Adrian, Bagus Sapto Mulyatno

    Diterbitkan 2020-01-01
    "…On the field ”ADA” found four coal seam, that is seam A1 with thickness 8,28 m, seam A2 with thickness 13,62 m, seam B with thickness 18,50, and seam C with thickness 8,84. …"
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    Improved PSO_AdaBoost Ensemble Algorithm for Imbalanced Data oleh Kewen Li, Guangyue Zhou, Jiannan Zhai, Fulai Li, Mingwen Shao

    Diterbitkan 2019-03-01
    "…However, it is challenging to apply the AdaBoost algorithm directly to imbalanced data since it is designed mainly for processing misclassified samples rather than samples of minority classes. …"
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    Spatiotemporal Traffic Density Estimation Based on ADAS Probe Data oleh Donghyun Lim, Younghoon Seo, Eunjeong Ko, Jaehyun(Jason) So, Hyungjoo Kim

    Diterbitkan 2022-01-01
    "…This study aims to develop a spatiotemporal traffic density estimation method based on the advanced driver assistance system (ADAS) Probe data. This study uses the vehicle trajectory data collected from the ADAS equipped on the sample probe vehicles. …"
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    Imbalanced Data Classification of AdaBoostv Algorithm Based on Optimum Margin oleh LU Shu-xia, ZHANG Zhen-lian

    Diterbitkan 2021-11-01
    "…In order to solve the problem of imbalanced data classification,this paper proposes an AdaBoostv algorithm based on optimal margin.In this algorithm,the improved SVM is used as the base classifier,the margin mean term is introduced into the optimization model of SVM,and the margin mean term and loss function term are weighted by data imbalance ratio.The stochastic variance reduced gradient (SVRG) is used to solve the optimization model to improve the convergence rate.In the optimal margin AdaBoostv algorithm,a new adaptive cost sensitive function is introduced into the instance weight update formula,the minority instances,the misclassified instances and the borderline minority instances are assigned higher cost values.In addition,a new weight strategy of the base classifier is derived by combining the new weight formula and introducing the estimated value of the optimal margin under the given precision parameter v,so as to further improve the classification accuracy of the algorithm.The experimental results show that the classification accuracy of the AdaBoostv algorithm with optimal margin is better than other algorithms on imbalanced datasets in the case of linear and nonlinear,and it can obtain a larger minimum margin.…"
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    Ada

    Diterbitkan 2021-06-01
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    Ada

    Diterbitkan 2021-06-01
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    LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data. oleh Li Huang, Yifeng Yin, Zeng Fu, Shifa Zhang, Hao Deng, Dianbo Liu

    Diterbitkan 2020-01-01
    "…Using intensive care unit data from hospitals, we investigated the performance of learning in IID and non-IID data distribution scenarios, and showed that the proposed LoAdaBoost method achieved higher predictive accuracy with lower computational complexity than the baseline method.…"
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    In Memory of Ada

    Diterbitkan 2021-06-01
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    ADA: an open-source software platform for plotting and analysis of data from laboratory photobioreactors oleh Lydia J. Mapstone, Henry N. Taunt, Jing Cui, Saul Purton, Tom G. R. Brooks

    Diterbitkan 2022-12-01
    "…ADA can simultaneously interpret datasets from three major PBR suppliers (Algenuity, Industrial Plankton, Photon Systems Instruments), and can also incorporate data from manual readings. …"
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