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Haohao Wang, Limin Gao and Baohai Wu
Many probability-based uncertainty quantification (UQ) schemes require a large amount of sampled data to build credible probability density function (PDF) models for uncertain parameters. Unfortunately, the amounts of data collected as to compressor blad...
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Frank Nielsen
The family of ??
a
-divergences including the oriented forward and reverse Kullback?Leibler divergences is often used in signal processing, pattern recognition, and machine learning, among others. Choosing a suitable ??
a
-divergence can either be done b...
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Ping Dong, Jianhua Cheng and Liqiang Liu
In this paper, a novel anti-jamming technique based on black box variational inference for INS/GNSS integration with time-varying measurement noise covariance matrices is presented. We proved that the time-varying measurement noise is more similar to the...
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Jiyue Wang, Pei Zhang, Qianhua He, Yanxiong Li and Yongjian Hu
Label Smoothing Regularization (LSR) is a widely used tool to generalize classification models by replacing the one-hot ground truth with smoothed labels. Recent research on LSR has increasingly focused on the correlation between the LSR and Knowledge Di...
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Pablo Gamallo, José Ramom Pichel and Iñaki Alegria
Phylogenetics is a sub-field of historical linguistics whose aim is to classify a group of languages by considering their distances within a rooted tree that stands for their historical evolution. A few European languages do not belong to the Indo-Europe...
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