IOR
2008
14 years 24 days ago
2008
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
DM
2006
14 years 25 days ago
2006
In this paper, we study the problem of sampling (exactly) uniformly from the set of linear extensions of an arbitrary partial order. Previous Markov chain techniques have yielded ...
DSP
2008
14 years 27 days ago
2008
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
CORR
2010
Springer
14 years 27 days ago
2010
Springer
Abstract--It was shown recently that carrier sense multiple access (CSMA)-like distributed algorithms can achieve the maximal throughput in wireless networks (and task processing n...
CORR
2010
Springer
14 years 27 days ago
2010
Springer
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
CORR
2010
Springer
14 years 27 days ago
2010
Springer
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
CORR
2010
Springer
14 years 27 days ago
2010
Springer
We study logit dynamics [3] for strategic games. At every stage of the game a player is selected uniformly at random and she is assumed to play according to a noisy best-response ...
AMC
2008
14 years 28 days ago
2008
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
GECCO
2008
Springer
14 years 1 months ago
2008
Springer
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...