Synonyme wurden verwendet für: learning
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1–50 von 325 Ergebnissen
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    Learning and exit behavior of new entrant discount airlines from city-pair markets

    Dixit, Ashutosh / Chintagunta, Pradeep K. | Tema Archiv | 2007
    Schlagwörter: Lernprozess

    Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking

    Kang, Ziho / Landry, Steven J. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Vertragsgestaltung in der Automobilindustrie: Transaktionsmerkmale, Erfahrungslernen und Wissensmanagement

    Eckhard, Björn / Mellewigt, Thomas / Weller, Ingo | Tema Archiv | 2009
    Schlagwörter: Lernprozess

    Interorganisationales Lernen : ein kompetenzorientierter Ansatz zur Steuerung von Logistiknetzwerken

    Hülsmann, Michael / Lohmann, Jessica | SLUB | 2009
    Schlagwörter: Organisatorisches Lernen , Lernprozess

    Production scheduling of assembly fixtures in the aeronautical industry

    da Silva, Bruno Jensen Virginio / Morabito, Reinaldo / Yamashita, Denise Sato et al. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    The road to 'root cause': Shop-floor problem-solving at three auto assembly plants

    MacDuffie, J.P. | Tema Archiv | 1997
    Schlagwörter: Lernen , adaptives Lernen

    Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020

    Freier Zugriff
    Straube, Frank / Poschmann, Peter / Weinke, Manuel et al. | TIBKAT | 2020
    Schlagwörter: Maschinelles Lernen

      Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020

      Straube, Frank / Poschmann, Peter / Weinke, Manuel et al. | TIBKAT | 2020
      Schlagwörter: Maschinelles Lernen

    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning , Bestärkendes Lernen

    Data mining for quality control: Burr detection in the drilling process

    Ferreiro, Susana / Sierra, Basilio / Irigoien, Itziar et al. | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage

    Gorecky, Dominic / Mura, Katharina / Falkenhausen, Iulia von et al. | Tema Archiv | 2013
    Schlagwörter: Lernprozess

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

      Schmidt-Thieme, Lars / Rieck, Julia / Hahne, Detlef | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Schlagwörter: Multi-objective reinforcement learning , Deep learning

    Machine Learning im Cost Engineering des Supply Managements

    Freier Zugriff
    Bodendorf, Frank | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Machine Learning im Cost Engineering des Supply Managements

      Bodendorf, Frank / FAU University Press ein Imprint der Universität Erlangen-Nürnberg, Universitätsbibliothek | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    Characterizing accident narratives with word embeddings: Improving accuracy, richness, and generalizability

    Goldberg, David M. | Elsevier | 2021
    Schlagwörter: Machine learning , Transfer learning

    Machine learning and deep learning

    Freier Zugriff
    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021
    Schlagwörter: Deep learning , Machine learning

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    Technische und lernpsychologische Zusammenhänge bei Trainingssimulatoren für die Fahrausbildung

    Dieterich, R. / Tomaske, W. | Tema Archiv | 2003
    Schlagwörter: Lernprozess

    Stochastische Transportprobleme

    Arnold, Klaus-Peter | SLUB | 1987
    Schlagwörter: Lernen

    A deep learning based traffic crash severity prediction framework

    Rahim, Md Adilur / Hassan, Hany M. | Elsevier | 2021
    Schlagwörter: Deep learning , Transfer learning

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Metro Bilbao training simulator. The first experience of training novice drivers

    Brazalez, A. | Tema Archiv | 2003
    Schlagwörter: Lernprozess

    Hierarchical fault diagnosis and health monitoring in multi-platform space systems

    Barua, A. / Khorasani, K. | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Lernen

    Case-based adaptation for automotive engine electronic control unit calibration

    Vong, Chi-man / Wong, Pak-Kin | Tema Archiv | 2010
    Schlagwörter: Lernen

    A feature learning approach based on XGBoost for driving assessment and risk prediction

    Shi, Xiupeng / Wong, Yiik Diew / Li, Michael Zhi-Feng et al. | Elsevier | 2019
    Schlagwörter: Feature learning

    Developing and testing a hazard prediction task for novice drivers: A novel application of naturalistic driving videos

    Ehsani, Johnathon P. / Seymour, Karen E. / Chirles, Theresa et al. | Elsevier | 2020
    Schlagwörter: Learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    An artificial neural networks approach on automobile pricing

    Iseri, A. / Karlik,B. | Tema Archiv | 2009
    Schlagwörter: Lernen

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning , Ensemble learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    Testing the TASP: An experimental investigation of learning in games with unstable equilibria

    Freier Zugriff
    Cason, Timothy N. / Friedman, Daniel / Hopkins, Ed | BASE | 2009
    Schlagwörter: learning , Lernprozess

    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Schlagwörter: Hypergraph Learning , Self-Supervised Learning

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Deep reinforcement learning for the optimal placement of cryptocurrency limit orders

    Freier Zugriff
    Schnaubelt, Matthias | BASE | 2020
    Schlagwörter: Machine learning , Deep Reinforcement Learning

    A task-level emergency experience reuse method for freeway accidents onsite disposal with policy distilled reinforcement learning

    Yan, Longhao / Wang, Ping / Qi, Fan et al. | Elsevier | 2023
    Schlagwörter: Transfer learning , Multi-agent reinforcement learning

    Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee

    Roland, Jeremiah / Way, Peter D. / Firat, Connor et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Traffic campaigns and overconfidence: An experimental approach

    Silva, Thiago Christiano / Laiz, Marcela T. / Tabak, Benjamin Miranda | Elsevier | 2020
    Schlagwörter: Machine learning

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Learning based Metaheuristics

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    Computer-based training for safety: Comparing methods with older and younger workers

    Wallen, Erik S. / Mulloy, Karen B. | Elsevier | 2006
    Schlagwörter: Computer-based learning , Adult learning