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MMB
2010
Springer
185views Communications» more  MMB 2010»
15 years 3 months ago
Correctness Issues of Symbolic Bisimulation Computation for Markov Chains
Abstract. Bisimulation reduction is a classical means to fight the infamous state space explosion problem, which limits the applicability of automated methods for verification li...
Ralf Wimmer, Bernd Becker
PAMI
2007
186views more  PAMI 2007»
15 years 1 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
RECOMB
2006
Springer
16 years 2 months ago
Markov Additive Chains and Applications to Fragment Statistics for Peptide Mass Fingerprinting
Abstract. Peptide mass fingerprinting is a technique to identify a protein from its fragment masses obtained by mass spectrometry after enzymatic digestion. Recently, much attentio...
Hans-Michael Kaltenbach, Sebastian Böcker, Sv...
QEST
2009
IEEE
15 years 8 months ago
Nondeterministic Labeled Markov Processes: Bisimulations and Logical Characterization
We extend the theory of labeled Markov processes with internal nondeterminism, a fundamental concept for the further development of a process theory with abstraction on nondetermi...
Pedro R. D'Argenio, Nicolás Wolovick, Pedro...
ICML
2007
IEEE
16 years 2 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi