Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
A system to prevent subscription fraud in fixed telecommunications with high impact on long-distance carriers is proposed. The system consists of a classification module and a pre...
Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...
A common task in biological research is to predict function for proteins by comparing sequences between proteins of known and unknown function. This is often done using pair-wise ...
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...