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SAGT
2009
Springer
192views Game Theory» more  SAGT 2009»
16 years 1 months ago
Learning and Approximating the Optimal Strategy to Commit To
Computing optimal Stackelberg strategies in general two-player Bayesian games (not to be confused with Stackelberg strategies in routing games) is a topic that has recently been ga...
Joshua Letchford, Vincent Conitzer, Kamesh Munagal...
HPCS
2005
IEEE
16 years 10 days ago
High Performance Derivative-Free Optimization Applied to Biomedical Image Registration
Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
Mark P. Wachowiak, Terry M. Peters
ICDAR
2003
IEEE
16 years 13 hour ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
LCN
1997
IEEE
15 years 11 months ago
The Optimal Virtual Path Design of ATM Networks
This paper studies the optimal configuration of virtual paths in ATM networks. A linear model that minimizes the mrximumjow density of links is proposed for the optimal virtual pa...
Zhigang Qin, Tetiana Lo, Felix F. Wu
212
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WSC
2007
15 years 9 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper