Synonyms were used for: Lernen maschinelles Lernen
Search without synonyms: keywords:(maschinelles Lernen)

1–10 of 110 hits
|

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archive | 2003
    Keywords: maschinelles Sehen , Lernen

    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Keywords: Machine Learning

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Keywords: Machine learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archive | 2002
    Keywords: Lernen , maschinelles Lernen

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Keywords: Explainable machine learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Keywords: Machine Learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Keywords: Machine learning

    Transit electrification state of the art: A machine-learning based text mining approach

    Eldeeb, Gamal / Mohamed, Moataz | Elsevier | 2022
    Keywords: Machine learning text mining

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Keywords: Bayesian machine learning

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archive | 2009
    Keywords: maschinelles Sehen , Lernen