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JAIR
2000
152views more  JAIR 2000»
13 years 7 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
QUESTA
2011
12 years 10 months ago
Uniform approximations for the M/G/1 queue with subexponential processing times
: This paper studies the asymptotic behavior of the steady-state waiting time, W∞, of the M/G/1 queue with subexponenential processing times for different combinations of traffi...
Mariana Olvera-Cravioto, Peter W. Glynn
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
14 years 7 months ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
VALUETOOLS
2006
ACM
125views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
An approximative method for calculating performance measures of Markov processes
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...
Juha Leino, Jorma T. Virtamo
AAAI
1997
13 years 9 months ago
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Frank Klassner, Victor R. Lesser, Hamid Nawab