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  1. Chapter Given N forecasting models, what to do? 著者: Culotta, Fabrizio

    出版事項 2023
    “…The logic of this work is inspired by the series of M-Competitions, i.e. the tradition of competitions organized to test the forecasting performances of classical and innovative models. Given N competing models, only one winner is selected. …”
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  2. Adjustment theory 著者: Teunissen, Peter J.G.

    出版事項 2025
    “…The choice of partitioning also affects the algorithmic realization of the solution. In this introductory text the methodology of adjustment is emphasized, although various samples are given to illustrate the theory. …”
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  3. Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation 著者: Rhode, Stephan

    出版事項 2021
    “…This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. …”
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  4. Chapter Multi-Period Attack-Aware Optical Network Planning under Demand Uncertainty 著者: Manousakis, Konstantinos, Kolios, Panayiotis, Ellinas, Georgios

    出版事項 2021
    “…The proposed Aa‐RWA algorithm first solves the problem for given traffic demands, and subsequently, the algorithm is enhanced in order to deal with demands under uncertainties. …”
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  5. Statistical Data Modeling and Machine Learning with Applications

    出版事項 2022
    “…To one degree or another, all of these techniques and algorithms originate from a rigorous mathematical basis, including probability theory and mathematical statistics, operational research, mathematical analysis, numerical methods, etc. …”
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