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» Optimization by Stochastic Continuation
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157
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MICCAI
2005
Springer
16 years 4 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
164
Voted
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 3 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
148
Voted
CDC
2009
IEEE
217views Control Systems» more  CDC 2009»
15 years 4 months ago
Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
Mohsen Ramezani Ghalenoei, Hossein Hajimirsadeghi,...
126
Voted
CDC
2010
IEEE
104views Control Systems» more  CDC 2010»
14 years 10 months ago
Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty
Abstract-- In this paper, we consider the distributed computation of equilibria arising in monotone stochastic Nash games over continuous strategy sets. Such games arise in setting...
Jayash Koshal, Angelia Nedic, Uday V. Shanbhag
110
Voted
CP
2010
Springer
15 years 1 months ago
An Empirical Study of Optimization for Maximizing Diffusion in Networks
Abstract. We study the problem of maximizing the amount of stochastic diffusion in a network by acquiring nodes within a certain limited budget. We use a Sample Average Approximati...
Kiyan Ahmadizadeh, Bistra N. Dilkina, Carla P. Gom...