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» Basic Observables for Processes
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114
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TCS
2011
14 years 8 months ago
Computational processes, observers and Turing incompleteness
We propose a formal definition of Wolfram’s notion of computational process based on iterated transducers together with a weak observer, a model of computation that captures so...
Klaus Sutner
180
Voted
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
14 years 7 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu
93
Voted
ICML
2006
IEEE
16 years 1 months ago
Region-based value iteration for partially observable Markov decision processes
Hui Li, Xuejun Liao, Lawrence Carin
98
Voted
ECML
2005
Springer
15 years 6 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup