Login / Signup
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization.
Karim Huesmann
Sören Klemm
Lars Linsen
Benjamin Risse
Published in:
CoRR (2020)
Keyphrases
</>
neural network
sparsity regularization
pattern recognition
back propagation
artificial neural networks
cross validation
decision trees
multiscale
sparse bayesian learning
machine learning
learning algorithm
feature selection
support vector
high dimensional
nearest neighbor
sparse coding