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SIAMCO
2002
92views more  SIAMCO 2002»
13 years 7 months ago
Numerical Approximations for Stochastic Differential Games
The Markov chain approximation method is a widely used, relatively easy to use, and efficient family of methods for the bulk of stochastic control problems in continuous time, for...
Harold J. Kushner
UM
2001
Springer
13 years 12 months ago
Using Markov Chains for Structural Link Prediction in Adaptive Web Sites
My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
Jianhan Zhu
PAMI
2002
127views more  PAMI 2002»
13 years 7 months ago
Image Segmentation by Data-Driven Markov Chain Monte Carlo
Zhuowen Tu, Song Chun Zhu
MMAS
2010
Springer
13 years 2 months ago
Markov Chain Stochastic Parametrizations of Essential Variables
We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empi...
K. Nimsaila, I. Timofeyev
TIT
2010
141views Education» more  TIT 2010»
13 years 2 months ago
Distributed averaging via lifted Markov chains
Abstract--Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algo...
Kyomin Jung, Devavrat Shah, Jinwoo Shin