Description

.- Theory of Neural Networks and Machine Learning.

.- Multi-label Robust Feature Selection via Subspace-Sparsity Learning.

.- Nullspace-based metric for classification of dynamical systems and sensors.

.- On the Bayesian Interpretation of Robust Regression Neural Networks.

.- Probability-Generating Function Kernels for Spherical Data.

.- Tailored Finite Point Operator Networks for Interface problems.

.- Novel Methods in Machine Learning.

.- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class.

.- Adaptive Compression of the Latent Space in Variational Autoencoders.

.- Asymmetric Isomap for Dimensionality Reduction and Data Visualization.

.- CALICO: Confident Active Learning with Integrated Calibration.

.- Improved Multi-hop Reasoning through Sampling and Aggr

Artificial Neural Networks and Machine Learning ICANN 2024

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Paperback by Michael Wand

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.- Theory of Neural Networks and Machine Learning..- Multi-label Robust Feature Selection via Subspace-Sparsity Learning..- Nullspace-based metric for classification of dynamical systems and... Read more

    Publisher: Springer
    Publication Date: 9/17/2024
    ISBN13: 9783031723315, 978-3031723315
    ISBN10: 3031723317

    Non Fiction , Computing

    Description

    .- Theory of Neural Networks and Machine Learning.

    .- Multi-label Robust Feature Selection via Subspace-Sparsity Learning.

    .- Nullspace-based metric for classification of dynamical systems and sensors.

    .- On the Bayesian Interpretation of Robust Regression Neural Networks.

    .- Probability-Generating Function Kernels for Spherical Data.

    .- Tailored Finite Point Operator Networks for Interface problems.

    .- Novel Methods in Machine Learning.

    .- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class.

    .- Adaptive Compression of the Latent Space in Variational Autoencoders.

    .- Asymmetric Isomap for Dimensionality Reduction and Data Visualization.

    .- CALICO: Confident Active Learning with Integrated Calibration.

    .- Improved Multi-hop Reasoning through Sampling and Aggr

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