We describe a series of algorithms that efficiently implement Gaussian
m...
We define a new class of "implicit" deep learning prediction rules that
...
Due to its linear complexity, naive Bayes classification remains an
attr...
Despite the recent successes of deep neural networks, the corresponding
...
In this paper, we consider the problem of selecting representatives from...
Outlier detection methods have become increasingly relevant in recent ye...
We describe a novel family of models of multi- layer feedforward neural
...