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» Sampling Bounds for Stochastic Optimization
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ENVSOFT
2007
258views more  ENVSOFT 2007»
13 years 9 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton
CORR
2010
Springer
201views Education» more  CORR 2010»
13 years 7 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
NIPS
2001
13 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
CHES
2006
Springer
87views Cryptology» more  CHES 2006»
14 years 1 months ago
Templates vs. Stochastic Methods
Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of `a-priori' knowledge gained from a profiling step. For a sys...
Benedikt Gierlichs, Kerstin Lemke-Rust, Christof P...
VMV
2004
123views Visualization» more  VMV 2004»
13 years 11 months ago
Hierarchy Accelerated Stochastic Collision Detection
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
Stefan Kimmerle, Matthieu Nesme, François F...