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JAIR
2000
152views more  JAIR 2000»
15 years 6 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 4 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
TCOM
2010
98views more  TCOM 2010»
15 years 1 months ago
Convolutionally Coded Transmission over Markov-Gaussian Channels: Analysis and Decoding Metrics
It has been widely acknowledged that the aggregate interference at the receiver for various practical communication channels can often deviate markedly from the classical additive ...
Jeebak Mitra, Lutz H.-J. Lampe
SIAMSC
2008
148views more  SIAMSC 2008»
15 years 6 months ago
Multilevel Adaptive Aggregation for Markov Chains, with Application to Web Ranking
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
16 years 18 days ago
A Dynamic Mobility Histogram Construction Method Based on Markov Chains
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Yoshiharu Ishikawa, Yoji Machida, Hiroyuki Kitagaw...