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» Limiting Behavior of Markov Chains with Eager Attractors
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QEST
2006
IEEE
13 years 10 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...
CORR
2011
Springer
168views Education» more  CORR 2011»
12 years 11 months ago
Limit Theorems for the Sample Entropy of Hidden Markov Chains
The Shannon-McMillan-Breiman theorem asserts that the sample entropy of a stationary and ergodic stochastic process converges to the entropy rate of the same process almost surely...
Guangyue Han
FUIN
1998
122views more  FUIN 1998»
13 years 4 months ago
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
The theory of evolutionary computation has been enhanced rapidly during the last decade. This survey is the attempt to summarize the results regarding the limit and nite time behav...
Günter Rudolph
DSN
2007
IEEE
13 years 11 months ago
Dynamic Fault Tree Analysis Using Input/Output Interactive Markov Chains
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...
WWW
2010
ACM
13 years 11 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...