박사

Robust Feature Learning with Deep Neural Networks

이태훈 2016년
' Robust Feature Learning with Deep Neural Networks' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 응용 물리
  • bioinformatics
  • biomedical imaging
  • boosting
  • class imbalance
  • convolutional neural networks
  • data augmentation
  • deep learning
  • deepneuralnetworks
  • machine learning
  • manifold learning
  • regularization
  • restricted Boltzmann machines
  • splice junction prediction
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
6,718 0

0.0%

' Robust Feature Learning with Deep Neural Networks' 의 참고문헌

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