24 citations · 34 across the 29 of their papers we have counts for
3 papers · 1 filter
Semi-supervised learning
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
Semi-supervised learning deals with the problem of how, if possible, to take advantage of a huge amount of not classified data, to perform classification, in situations when, typic…
Robust Fusion Methods for Big Data
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman +1
We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the wh…
Detection of low dimensionality and data denoising via set estimation techniques
Catherine Aaron, Alejandro Cholaquidis, Antonio Cuevas
This work is closely related to the theories of set estimation and manifold estimation. Our object of interest is a, possibly lower-dimensional, compact set $S \subset {\mathbb R}^…