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Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process

In recent years, deep neural networks have shown significant progress in computer vision due to their large generalization capacity; however, the overfitting problem ubiquitously threatens the learning process of these highly nonlinear architectures. Dropout is a recent solution to mitigate overfitt...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Saffari, Mohsen, Khodayar, Mahdi, Ebrahimi Saadabadi, Mohammad Saeed, Sequeira, Ana F., Cardoso, Jaime S.
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7961777/
https://ncbi.nlm.nih.gov/pubmed/33800810
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051846
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