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Bayesian Supervised Dimensionality Reduction
IEEE Transactions on Cybernetics, 2013Dimensionality reduction is commonly used as a preprocessing step before training a supervised learner. However, coupled training of dimensionality reduction and supervised learning steps may improve the prediction performance. In this paper, we introduce a simple and novel Bayesian supervised dimensionality reduction method that combines linear ...
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One‐Dimensional Covalent Organic Frameworks for the 2e− Oxygen Reduction Reaction
Angewandte Chemie - International Edition, 2023Qing Xu
exaly
2019
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
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Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
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Recent Progress in Two-Dimensional Materials for Electrocatalytic CO2 Reduction
Catalysts, 2022Yu Zhixin, Zhixin Yu, Fengliu Lou
exaly
Overview and comparative study of dimensionality reduction techniques for high dimensional data
Information Fusion, 2020Muhammad Kashif Hanif +2 more
exaly
Applications of Discriminative Dimensionality Reduction
Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013Hammer, Barbara +2 more
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Low-dimensional catalysts for oxygen reduction reaction
Progress in Natural Science: Materials International, 2020Xin Tong, Shuhui Sun, Diane Rawach
exaly