One of the most well established brain principles, hebbian learning, has...
When several models have similar training scores, classical model select...
The theory of bias-variance used to serve as a guide for model selection...
A vast majority of the current research in the field of Machine Learning...
It is generally assumed that the brain uses something akin to sparse
dis...
Drawing from memory the face of a friend you have not seen in years is a...
Although deep learning has solved difficult problems in visual pattern
r...
This paper explores interpretability techniques for two of the most
succ...
We propose an alternative and unifying framework for decision-making tha...
It is the focus of this work to extend and study the previously proposed...
In this work, we analyse and model a real life financial loan applicatio...
We analyse a quantum-like Bayesian Network that puts together cause/effe...
Probabilistic graphical models such as Bayesian Networks are one of the ...
Expert finding is an information retrieval task concerned with the searc...