research
∙
01/24/2022
A Method to Predict Semantic Relations on Artificial Intelligence Papers
Predicting the emergence of links in large evolving networks is a diffic...
share
research
∙
07/17/2020
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Semantic hashing is an emerging technique for large-scale similarity sea...
research
∙
04/12/2016
Efficient Classification of Multi-Labelled Text Streams by Clashing
We present a method for the classification of multi-labelled text docume...
research
∙
10/24/2015
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee
Frank-Wolfe (FW) algorithms have been often proposed over the last few y...
research
∙
02/05/2015
A PARTAN-Accelerated Frank-Wolfe Algorithm for Large-Scale SVM Classification
Frank-Wolfe algorithms have recently regained the attention of the Machi...
research
∙
10/15/2014
Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning
Frank-Wolfe algorithms for convex minimization have recently gained cons...
research
∙
04/03/2013
A Novel Frank-Wolfe Algorithm. Analysis and Applications to Large-Scale SVM Training
Recently, there has been a renewed interest in the machine learning comm...
research
∙
12/04/2012
