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UAI
2004
14 years 11 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
IJCAI
1993
14 years 11 months ago
Genetic State-Space Search for Constrained Optimization Problems
This paper introduces GSSS (Genetic State-Space Search). The integration of two general search paradigms — genetic search and state-space-search provides a general framework whi...
Jan Paredis
IPSN
2004
Springer
15 years 3 months ago
Distributed state representation for tracking problems in sensor networks
This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
Juan Liu, Maurice Chu, Jie Liu, Jim Reich, Feng Zh...
DDECS
2006
IEEE
88views Hardware» more  DDECS 2006»
15 years 4 months ago
Minimization of Large State Spaces using Symbolic Branching Bisimulation
Abstract: Bisimulations in general are a powerful concept to minimize large finite state systems regarding some well-defined observational behavior. In contrast to strong bisimul...
Ralf Wimmer, Marc Herbstritt, Bernd Becker
ICASSP
2011
IEEE
14 years 2 months ago
A state space model for online polyphonic audio-score alignment
We present a novel online audio-score alignment approach for multiinstrument polyphonic music. This approach uses a 2-dimensional state vector to model the underlying score positi...
Zhiyao Duan, Bryan Pardo