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» Learning Behavior Models for Hybrid Timed Systems
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119
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ICCAD
1996
IEEE
127views Hardware» more  ICCAD 1996»
15 years 7 months ago
Comparing models of computation
We give a denotational framework (a "meta model") within which certain properties of models of computation can be understood and compared. It describes concurrent proces...
Edward A. Lee, Alberto L. Sangiovanni-Vincentelli
157
Voted
SIGDIAL
2010
15 years 1 months ago
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
Srinivasan Janarthanam, Oliver Lemon
139
Voted
IEEEVAST
2010
14 years 10 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
JMLR
2002
125views more  JMLR 2002»
15 years 3 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto
160
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EMSOFT
2010
Springer
15 years 1 months ago
Model-based implementation of real-time applications
Correct and efficient implementation of general real-time applications remains by far an open problem. A key issue is meeting timing constraints whose satisfaction depends on feat...
Tesnim Abdellatif, Jacques Combaz, Joseph Sifakis