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» Structured Stochastic Modeling of Fault-Tolerant Systems
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AI
2006
Springer
13 years 7 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
GLVLSI
2008
IEEE
129views VLSI» more  GLVLSI 2008»
14 years 1 months ago
Variational capacitance modeling using orthogonal polynomial method
In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
DSN
2002
IEEE
14 years 13 days ago
Performability Analysis of Guarded-Operation Duration: A Successive Model-Translation Approach
When making an engineering design decision, it is often necessary to consider its implications on both system performance and dependability. In this paper, we present a performabi...
Ann T. Tai, William H. Sanders, Leon Alkalai, Savi...
NIPS
1998
13 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
CDC
2010
IEEE
116views Control Systems» more  CDC 2010»
13 years 2 months ago
Dynamic reconfiguration of terminal airspace during convective weather
Dynamic airspace configuration (DAC) algorithms strive to restructure the U.S. National Airspace System (NAS) in ways that allow air traffic control to better manage aircraft flows...
Diana Michalek, Hamsa Balakrishnan