A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
This project implements an integrated biological information website that classifies technical documents, learns about users' interests, and offers intuitive interactive visua...
Min Hong, Anis Kairmpour-fard, Steve Russell, Lawr...
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...