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» High-level approach to modeling of observed system behavior
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JAIR
2002
120views more  JAIR 2002»
15 years 6 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
ECBS
2007
IEEE
155views Hardware» more  ECBS 2007»
15 years 10 months ago
Evaluating the Quality of Models Extracted from Embedded Real-Time Software
Due to the high cost of modeling, model-based techniques are yet to make their impact in the embedded systems industry, which still persist on maintaining code-oriented legacy sys...
Joel Huselius, Johan Kraft, Hans Hansson, Sasikuma...
IJWIN
2010
117views more  IJWIN 2010»
15 years 1 months ago
Channel Models for Medical Implant Communication
Information regarding the propagation media is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characterist...
Kamran Sayrafian-Pour, Wen-Bin Yang, John G. Haged...
MICCAI
2004
Springer
16 years 7 months ago
A Collaborative Virtual Environment for the Simulation of Temporal Bone Surgery
Abstract. We describe a framework for training-oriented simulation of temporal bone surgery. Bone dissection is simulated visually and haptically, using a hybrid data representatio...
Dan Morris, Christopher Sewell, Nikolas H. Blevins...
FASE
2008
Springer
15 years 8 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt