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» A finiteness theorem for Markov bases of hierarchical models
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DSN
2005
IEEE
13 years 9 months ago
Combining Response Surface Methodology with Numerical Models for Optimization of Class-Based Queueing Systems
In general, decision support is one of the main purposes of model-based analysis of systems. Response surface methodology (RSM) is an optimization technique that has been applied ...
Peter Kemper, Dennis Müller, Axel Thümml...
FLAIRS
2004
13 years 8 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
SIGPRO
2008
155views more  SIGPRO 2008»
13 years 7 months ago
Recognition of off-line printed Arabic text using Hidden Markov Models
This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapp...
Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Rami Qahwa...
KI
2007
Springer
14 years 1 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
IJON
2010
189views more  IJON 2010»
13 years 5 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin