Generative adversarial networks (GANs) have been shown to provide an
eff...
The field of mobile health aims to leverage recent advances in wearable
...
This paper proposes an out-of-sample extension framework for a global
ma...
We present a general framework for classification of sparse and
irregula...
Collaborative filtering (CF) allows the preferences of multiple users to...
Rating prediction is an important application, and a popular research to...
Recently it has become popular to learn sparse Gaussian graphical models...
Standard maximum likelihood estimation cannot be applied to discrete
ene...