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Synonyme wurden verwendet für: RF • forest • model
Suche ohne Synonyme: keywords:(Random forest model (RF))

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    Determinants of passengers' ticketing channel choice in rail transit systems: New evidence of e-payment behaviors from Xi'an, China

    Li, Xiaowei / Shi, Lanxin / Tang, Junqing et al. | Elsevier | 2023
    Schlagwörter: Random forest model (RF)

    Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method

    Zhao, Hui / Gunardi, Willy / Liu, Yang et al. | ASCE | 2022
    Schlagwörter: Random forest (RF) , Clustering model

    Predicting USCS soil classification from soil property variables using Random Forest

    Gambill, Daniel R. / Wall, Wade A. / Fulton, Andrew J. et al. | Elsevier | 2016
    Schlagwörter: Random Forest model

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Random forest , Direct demand model

    Injury severity prediction model for two-wheeler crashes at mid-block road sections

    Panicker, Anju K. / Ramadurai, Gitakrishnan | Taylor & Francis Verlag | 2022
    Schlagwörter: conditional inference forest , random forest , ordered probit model

    Real-time trip purpose prediction using online location-based search and discovery services

    Ermagun, Alireza / Fan, Yingling / Wolfson, Julian et al. | Elsevier | 2017
    Schlagwörter: Nested logit model , Random forest model

    Gully erosion susceptibility mapping and prioritization of gully-dominant sub-watersheds using machine learning algorithms: Evidence from the Silabati River (tropical river, India)

    Hasanuzzaman, Md / Pratim Adhikary, Partha / Kumar Shit, Pravat | Elsevier | 2023
    Schlagwörter: Random Forest (RF)

    A data-driven hybrid control framework to improve transit performance

    Wang, Wensi / Liu, Jiaming / Yao, Baozhen et al. | Elsevier | 2019
    Schlagwörter: Random forest model

    The Study of Port Logistics Capabilities Based on Random Forest

    Ge, Zhen Zhong / Liu, Yong Jun | Trans Tech Publications | 2011
    Schlagwörter: Random Forest (RF)

    A large-scale empirical study on impacting factors of taxi charging station utilization

    Cai, Haiming / Wu, Fan / Cheng, Zhanhong et al. | Elsevier | 2023
    Schlagwörter: Random forest model

    Foot placement during error and pedal applications in naturalistic driving

    Wu, Yuqing / Boyle, Linda Ng / McGehee, Daniel et al. | Elsevier | 2016
    Schlagwörter: Random forest tree , Mixed effects model

    Analyzing the effects of congestion on planning time index – Grey models vs. random forest regression

    Freier Zugriff
    Shahriar Afandizadeh Zargari / Navid Amoei Khorshidi / Hamid Mirzahossein et al. | DOAJ | 2023
    Schlagwörter: Grey models , Random forest

    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

    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: Random forest , Regularized linear models

    Identifying specifications of in-use vehicles failing the inspection/maintenance emission test

    Tu, Ran / Xue, Lei / Meng, Chunsheng et al. | Elsevier | 2022
    Schlagwörter: Random forest model

    Understanding drivers' route choice behaviours in the urban network with machine learning models

    Freier Zugriff
    Lai, Xinjun / Fu, Hui / Li, Jun et al. | Wiley | 2019
    Schlagwörter: traditional models , random processes , random forest , ML models , random utility models , machine learning models

    Understanding drivers' route choice behaviours in the urban network with machine learning models

    Freier Zugriff
    Lai, Xinjun / Fu, Hui / Li, Jun et al. | IET | 2018
    Schlagwörter: random utility models , traditional models , random processes , ML models , machine learning models , random forest

    Analysis and modeling of detours in pedestrian operational navigation

    Xu, Qiancheng / Yuan, Zhilu / Guo, Renzhong et al. | Elsevier | 2024
    Schlagwörter: Velocity model , Random forest classifier

    Using long short term memory and convolutional neural networks for driver drowsiness detection

    Quddus, Azhar / Shahidi Zandi, Ali / Prest, Laura et al. | Elsevier | 2021
    Schlagwörter: Random forest (RF)

    Characterizing recurrent flood hazards in the Himalayan foothill region through data-driven modelling

    Hasanuzzaman, Md / Shit, Pravat Kumar / Bera, Biswajit et al. | Elsevier | 2023
    Schlagwörter: Random forest model

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