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CSDA
2008
94views more  CSDA 2008»
13 years 9 months ago
Robust model selection using fast and robust bootstrap
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...
Matias Salibian-Barrera, Stefan Van Aelst
ESWA
2006
78views more  ESWA 2006»
13 years 9 months ago
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
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...
Pablo A. Estévez, Claudio M. Held, Claudio ...
ICRA
2010
IEEE
92views Robotics» more  ICRA 2010»
13 years 7 months ago
Spatiotemporal path planning in strong, dynamic, uncertain currents
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,...
HPDC
2010
IEEE
13 years 10 months ago
Modeling sequence and function similarity between proteins for protein functional annotation
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 ...
Roger Higdon, Brenton Louie, Eugene Kolker
JMLR
2010
160views more  JMLR 2010»
13 years 4 months ago
Neural conditional random fields
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...
Trinh Minh Tri Do, Thierry Artières