Synonyme wurden verwendet für: forest
Suche ohne Synonyme: keywords:(Random forest regression)

1–20 von 45 Ergebnissen
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    GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression

    Liang, Handong / Guo, Zhongyang / Wu, Jianping et al. | Elsevier | 2019
    Schlagwörter: Random forest , Linear regression

    Predicting forest stand attributes using the integration of airborne laser scanning and Worldview-3 data in a mixed forest in Turkey

    Ozkan, Ulas Yunus / Demirel, Tufan / Ozdemir, Ibrahim et al. | Elsevier | 2021
    Schlagwörter: Forest inventory , Multiple linear regression , Random forest

    Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

    Surbhi Singh, Sumedha / Jeganathan, C. | Elsevier | 2023
    Schlagwörter: - Random Forest Regression , Forest Fire

    A gradient boosting method to improve travel time prediction

    Zhang, Yanru / Haghani, Ali | Elsevier | 2015
    Schlagwörter: Gradient boosting regression tree , Random forest

    A fault diagnosis method for underwater thruster based on RFR-SVM

    Chu, Zhenzhong / Li, Zhiqiang / Gu, Zhenhao et al. | SAGE Publications | 2023
    Schlagwörter: random forest regression

    Random Forests for Freeway Short-Term Traffic Speed Prediction

    Zheng, Hongyu / Chen, Xiaowei / Chen, Xiqun (Michael) | ASCE | 2018
    Schlagwörter: support vector regression , random forest

    Annual average daily traffic estimation in England and Wales: An application of clustering and regression modelling

    Sfyridis, Alexandros / Agnolucci, Paolo | Elsevier | 2020
    Schlagwörter: Support Vector Regression (SVR) , Random Forest

    Modeling aggressive driving behavior based on graph construction

    Wang, Junhua / Xu, Wenxiang / Fu, Ting et al. | Elsevier | 2022
    Schlagwörter: Logistic regression , Random forest

    A data-driven prediction model for aircraft taxi time by considering time series about gate and real-time factors

    Wang, Fujun / Bi, Jun / Xie, Dongfan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Random Forest Regression

    Deep survival analysis of searching for on-street parking in urban areas

    Mantouka, Eleni G. / Fafoutellis, Panagiotis / Vlahogianni, Eleni I. | Elsevier | 2021
    Schlagwörter: Cox regression , Random survival forest

    Using machine learning to analyze air traffic management actions: Ground delay program case study

    Liu, Yulin / Liu, Yi / Hansen, Mark et al. | Elsevier | 2019
    Schlagwörter: Logistic regression , Random forest

    RSVRs based on Feature Extraction: A Novel Method for Prediction of Construction Projects’ Costs

    Zhang, Ying / Fang, Shutian | Online Contents | 2019
    Schlagwörter: random forest , support vector regression

    Machine learning regression models for prediction of multiple ionospheric parameters

    Iban, Muzaffer Can / Şentürk, Erman | Elsevier | 2021
    Schlagwörter: Machine learning regression , Random forest

    On the important features for a well-shaped reduced network MFD estimation during network loading and recovery

    Mousavizadeh, Omid / Keyvan-Ekbatani, Mehdi | Elsevier | 2024
    Schlagwörter: Random forest regression

    Prediction of Aircraft Estimated Time of Arrival Using A Supervised Learning Approach

    James Z Wells / Tejas G Puranik / Krishna M Kalyanam et al. | NTRS
    Schlagwörter: Random forest regression

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: random forest regression

    Analyzing angle crashes at unsignalized intersections using machine learning techniques

    Abdel-Aty, Mohamed / Haleem, Kirolos | Elsevier | 2010
    Schlagwörter: Multivariate adaptive regression splines , Random forest

    Applicability of machine learning in uncertainty quantification of turbulence models

    Freier Zugriff
    Matha, Marcel / Kucharczyk, Karsten | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: random forest regression

    Development and evaluation of frameworks for real-time bus passenger occupancy prediction

    Freier Zugriff
    Jonathan Wood / Zhengyao Yu / Vikash V. Gayah | DOAJ | 2023
    Schlagwörter: Regression model , Random forest model