Showing 1 - 5 results of 5 for search 'specialized sparse learning algorithm', query time: 0.69s Refine Results
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    Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models by Keqian Min (10913067)

    Published 2021
    “…With normally distributed tensors, the key to high-dimensional tensor graphical models becomes the sparse estimation of the <i>M</i> inverse covariance matrices. …”
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    Efficient Deep Learning Methods for Medical Image Analysis by Yaopeng Peng (19778394)

    Published 2024
    “…Furthermore, the annotation process is both time-consuming and costly, requiring the specialized expertise of medical professionals. Consequently, the limited availability of annotated data for training deep learning models often results in overfitting and suboptimal generalization to new data. …”
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    Robust Multi-Model Subset Selection by Anthony-Alexander Christidis (6949055)

    Published 2025
    “…We establish the finite-sample breakdown point of the models generated by RMSS, including that of the Robust Best Subset Selection (RBSS) estimator as a special case. In addition, we develop a tailored computing algorithm to learn the ensemble by leveraging recent developments in <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math> optimization. …”