Results 1 to 10 of about 400,946 (151)
An Information-Theoretic Analysis of High-Frequency Load Disaggregation [PDF]
EntropyHigh-frequency non-intrusive load monitoring provides detailed harmonic information for appliances’ power disaggregation, and machine-learning approaches have demonstrated good performance in this task.
Gabriel Arquelau Pimenta Rodrigues +4 more
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Complexity, 2021 This study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in
Fengming Xin +4 more
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Uncovering Neural Learning Dynamics Through Latent Mutual Information [PDF]
EntropyWe study how convolutional neural networks reorganize information during learning in natural image classification tasks by tracking mutual information (MI) between inputs, intermediate representations, and labels. Across VGG-16, ResNet-18, and ResNet-50,
Arianna Issitt +4 more
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Error Exponents and α-Mutual Information
Entropy, 2021 Over the last six decades, the representation of error exponent functions for data transmission through noisy channels at rates below capacity has seen three distinct approaches: (1) Through Gallager’s E0 functions (with and without cost constraints); (2)
Sergio Verdú
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The Time Evolution of Mutual Information between Disjoint Regions in the Universe
Entropy, 2023 We study the time evolution of mutual information between mass distributions in spatially separated but casually connected regions in an expanding universe.
Biswajit Pandey
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Research on Spam Filtering Technology Based on IMI-WNB Algorithm [PDF]
Jisuanji gongcheng, 2020 The application of Mutual Information(MI) and Naive Bayes(NB) algorithm to spam filtering is faced with feature redundancy and invalid independence assumption.To address the problem,this paper proposes an Improved Mutual Information-Weighted Naive Bayes ...
LIU Jie, WANG Zheng, WANG Hui
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Entropy, 2023 Information-theoretic quantities reveal dependencies among variables in the structure of joint, marginal, and conditional entropies while leaving certain fundamentally different systems indistinguishable. Furthermore, there is no consensus on the correct
Abel Jansma
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A method for continuous-range sequence analysis with Jensen-Shannon divergence
Papers in Physics, 2021 Mutual Information (MI) is a useful Information Theory tool for the recognition of mutual dependence between data sets. Several methods have been developed fore estimation of MI when both data sets are of the discrete type or when both are of the ...
Miguel Ángel Ré +1 more
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MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
, 2023 Generalization capabilities of learning-based medical image segmentation across domains are currently limited by the performance degradation caused by the domain shift, particularly for ultrasound (US) imaging. The quality of US images heavily relies on carefully tuned acoustic parameters, which vary across sonographers, machines, and settings.
Bi, Yuan +5 more
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On the α-q-Mutual Information and the α-q-Capacities
Entropy, 2021 The measures of information transfer which correspond to non-additive entropies have intensively been studied in previous decades. The majority of the work includes the ones belonging to the Sharma–Mittal entropy class, such as the Rényi, the Tsallis ...
Velimir M. Ilić, Ivan B. Djordjević
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