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COLT
2008
Springer
15 years 9 months ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor
VMV
2001
101views Visualization» more  VMV 2001»
15 years 8 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
WSC
2004
15 years 8 months ago
Outpatient Clinic Scheduling - A Simulation Approach
The process by which outpatients are scheduled for a doctor's visit is a crucial determinant of the overall efficiency of the patient flow. The problem at hand consists of de...
Ming Guo, Michael Wagner, Constance E. West
JMLR
2010
125views more  JMLR 2010»
15 years 2 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
WSC
1997
15 years 8 months ago
Before Dynamic Simulation: Systematic Layout Design from Scratch
Excellent production design and planning depends on accurate simulation of a high quality layout. A good layout project will always begin with an analysis of the production volume...
David P. Sly
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