Synonyme wurden verwendet für: Light boosting gradient
Suche ohne Synonyme: keywords:(Light gradient boosting machine)

1–20 von 32 Ergebnissen
|

    Driving the environmental extra mile – Car sharing and voluntary carbon dioxide offsetting

    Haase, Enrico | Elsevier | 2022
    Schlagwörter: Machine learning , Light gradient boosting machine

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: gradient boosting , machine learning

    Estimating cycle-level real-time traffic movements at signalized intersections

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Gradient boosting , machine learning

    A gradient boosting method to improve travel time prediction

    Zhang, Yanru / Haghani, Ali | Elsevier | 2015
    Schlagwörter: Machine learning , Gradient boosting regression tree

    Exploring the nonlinear effects of built environment characteristics on customized bus service

    Wang, Jiangbo / Liu, Kai / Wang, De | Elsevier | 2022
    Schlagwörter: Machine learning , Gradient boosting

    Evaluation of e-scooters as transit last-mile solution

    Zuniga-Garcia, Natalia / Tec, Mauricio / Scott, James G. et al. | Elsevier | 2022
    Schlagwörter: Gradient boosting , Machine learning

    Identifying the rail operating features associated to intermodal freight rail operation delays

    Pineda-Jaramillo, Juan / Viti, Francesco | Elsevier | 2022
    Schlagwörter: Machine learning , Gradient boosting

    A kilometer or a mile? Does buffer size matter when it comes to car ownership?

    Laviolette, Jérôme / Morency, Catherine / Waygood, E.O.D. | Elsevier | 2022
    Schlagwörter: Machine learning , Gradient boosting machines

    Machine learning-based draft prediction for mouldboard ploughing in sandy clay loam soil

    Mahore, Vijay / Soni, Peeyush / Paul, Arpita et al. | Elsevier | 2023
    Schlagwörter: Machine Learning , Gradient Boosting

    Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling

    Morris, Clint / Yang, Jidong J. | Elsevier | 2021
    Schlagwörter: Machine learning , Gradient boosting

    Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques

    Das, Anik / Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Support vector machine , eXtrem gradient boosting

    How the built environment affects E-scooter sharing link flows: A machine learning approach

    Jin, Scarlett T. / Wang, Lei / Sui, Daniel | Elsevier | 2023
    Schlagwörter: Gradient boosting decision tree , Machine learning

    Application of machine learning to investigate heterogeneity in users’ perception of intercity train service quality in developing countries

    Farazi, Nahid Parvez / Murshed, Mohammad Neaz / Hadiuzzaman, Md | Elsevier | 2021
    Schlagwörter: Gradient Boosting Machine , Application of Machine Learning

    Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

    Grigorev, Artur / Mihaita, Adriana-Simona / Lee, Seunghyeon et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Light gradient boosting modelling

    Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city

    Shao, Qifan / Zhang, Wenjia / Cao, Xinyu (Jason) et al. | Elsevier | 2023
    Schlagwörter: Gradient boosting decision trees (GBDT) , Machine learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning , Gradient boosting decision tree

    Nonlinear and threshold effects of the built environment on e-scooter sharing ridership

    Yang, Hongtai / Zheng, Rong / Li, Xuan et al. | Elsevier | 2022
    Schlagwörter: Gradient boosting decision tree , Machine learning

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Schlagwörter: Extreme gradient boosting , Machine learning

    Modeling dwell time in a data-rich railway environment: With operations and passenger flows data

    Coulaud, Rémi / Keribin, Christine / Stoltz, Gilles | Elsevier | 2022
    Schlagwörter: Machine-learning methods (linear regression, random forests, gradient boosting with trees)

    Machine learning for effective spacecraft operation: Operating INTEGRAL through dynamic radiation environments

    Stepišnik, Tomaž / Finn, Timothy / Simidjievski, Nikola et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Gradient boosting