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LCN
2002
IEEE
9 years 6 days ago
On Modeling the Packet Error Statistics in Bursty Channels
Wireless channels usually face bursty errors, i.e., errors are prone to occur in clusters. These bit errors can be modeled using the Gilbert-Elliott model. When data packets are t...
Changli Jiao, Loren Schwiebert, Bin Xu
INFOCOM
2002
IEEE
9 years 6 days ago
Exact sampling of TCP Window States
We demonstrate how to apply Coupling from the Past, a simulation technique for exact sampling, to Markov chains based on TCP variants. This approach provides a new, statistically ...
Ashish Goel, Michael Mitzenmacher
FOCS
2002
IEEE
9 years 7 days ago
Rapidly Mixing Markov Chains for Sampling Contingency Tables with a Constant Number of Rows
We consider the problem of sampling almost uniformly from the set of contingency tables with given row and column sums, when the number of rows is a constant. Cryan and Dyer [3] h...
Mary Cryan, Martin E. Dyer, Leslie Ann Goldberg, M...
ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
9 years 14 days ago
Polynomial Time Approximate Sampler for Discretized Dirichlet Distribution
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
Tomomi Matsui, Mitsuo Motoki, Naoyuki Kamatani
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
9 years 22 days ago
On the stationary distribution of GAs with fixed crossover probability
We analyse the convergence of a GA when the mutation probability is low and the selection pressure is high, for arbitrary crossover types and probabilities. We succeed in mathemat...
U. Chandimal de Silva, Joe Suzuki
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
9 years 24 days ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska
ECML
2005
Springer
9 years 24 days ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
SAINT
2005
IEEE
9 years 26 days ago
A Matrix Pattern Compliant Strong Stochastic Bound
Stochastic bounds are a promising method to analyze QoS requirements. Indeed it is sufficient to prove that a bound of the real performance satisfies the guarantee. However, the...
Ana Busic, Jean-Michel Fourneau
ANSS
2005
IEEE
9 years 27 days ago
Approximation of Discrete Phase-Type Distributions
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described ...
Claudia Isensee, Graham Horton
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
9 years 1 months ago
Steganalysis based on Markov Model of Thresholded Prediction-Error Image
A steganalysis system based on 2-D Markov chain of thresholded prediction-error image is proposed in this paper. Image pixels are predicted with their neighboring pixels, and the ...
Dekun Zou, Yun Q. Shi, Wei Su, Guorong Xuan
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