Multi-modal high throughput biological data presents a great scientific
...
Selecting subsets of features that differentiate between two conditions ...
Modeling the distribution of high dimensional data by a latent tree grap...
We study super-resolution multi-reference alignment, the problem of
esti...
A key assumption in multiple scientific applications is that the distrib...
word2vec due to Mikolov et al. (2013) is a word embedding method
that is...
Latent variable models with hidden binary units appear in various
applic...
We consider semi-supervised regression when the predictor variables are ...
We show how deep learning methods can be applied in the context of
crowd...
In unsupervised ensemble learning, one obtains predictions from multiple...
In various situations one is given only the predictions of multiple
clas...