3 papers
cs.SI2022
A Method to Predict Semantic Relations on Artificial Intelligence Papers
Francisco Andrades, Ricardo Ñanculef
Predicting the emergence of links in large evolving networks is a difficult task with many practical applications. Recently, the Science4cast competition has illustrated this chall…
cs.LG2019
Evaluating Bregman Divergences for Probability Learning from Crowd
F. A. Mena, R. Ñanculef
The crowdsourcing scenarios are a good example of having a probability distribution over some categories showing what the people in a global perspective thinks. Learn a predictive…
cs.AI2016
Efficient Classification of Multi-Labelled Text Streams by Clashing
Ricardo Ñanculef, Ilias Flaounas, Nello Cristianini
We present a method for the classification of multi-labelled text documents explicitly designed for data stream applications that require to process a virtually infinite sequence o…