We consider deep neural networks with a Lipschitz continuous activation
...
Multi-view attributed graph clustering is an important approach to parti...
Various powerful deep neural network architectures have made great
contr...
Deep neural networks, as a powerful system to represent high dimensional...
Convergence of deep neural networks as the depth of the networks tends t...
We explore convergence of deep neural networks with the popular ReLU
act...
Reconstructing a band-limited function from its finite sample data is a
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Multi-task learning is an important trend of machine learning in facing ...
Recently, there has been emerging interest in constructing reproducing k...
The recent developments of basis pursuit and compressed sensing seek to
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Motivated by multi-task machine learning with Banach spaces, we propose ...
A typical approach in estimating the learning rate of a regularized lear...
Targeting at sparse learning, we construct Banach spaces B of functions ...