68 search results - page 4 / 14 » Using the exact state space of a Markov model to compute app... |
SFM
2007
Springer
13 years 12 months ago
2007
Springer
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
JMLR
2012
11 years 8 months ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
IJRR
2010
13 years 4 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
INFOCOM
2007
IEEE
14 years 1 days ago
2007
IEEE
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
VALUETOOLS
2006
ACM
13 years 11 months ago
2006
ACM
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...