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ANOR
2004
122views more  ANOR 2004»
15 years 7 months ago
Call Center Staffing with Simulation and Cutting Plane Methods
We present an iterative cutting plane method for minimizing staffing costs in a service system subject to satisfying acceptable service level requirements over multiple time perio...
Júlíus Atlason, Marina A. Epelman, S...
JMLR
2002
115views more  JMLR 2002»
15 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
CVPR
2011
IEEE
15 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
TWC
2008
148views more  TWC 2008»
15 years 7 months ago
ARMA Synthesis of Fading Channels
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
Hani Mehrpouyan, Steven D. Blostein
CEAS
2006
Springer
15 years 11 months ago
Fast Uncertainty Sampling for Labeling Large E-mail Corpora
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
Richard Segal, Ted Markowitz, William Arnold