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» Learning Behavior Models for Hybrid Timed Systems
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ICAC
2006
IEEE
15 years 6 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
98
Voted
ESWS
2010
Springer
15 years 5 months ago
A Hybrid Model and Computing Platform for Spatio-semantic Trajectories
Abstract. Spatio-temporal data management has progressed significantly towards efficient storage and indexing of mobility data. Typically such mobility data analytics is assumed t...
Zhixian Yan, Christine Parent, Stefano Spaccapietr...
105
Voted
RTAS
2007
IEEE
15 years 6 months ago
A Programming Model for Time-Synchronized Distributed Real-Time Systems
Discrete-event (DE) models are formal system specifications that have analyzable deterministic behaviors. Using a global, consistent notion of time, DE components communicate via...
Yang Zhao, Jie Liu, Edward A. Lee
BMCBI
2007
215views more  BMCBI 2007»
15 years 15 days ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICALP
1997
Springer
15 years 4 months ago
Discrete-Time Control for Rectangular Hybrid Automata
Rectangular hybrid automatamodel digital control programs of analog plant environments. We study rectangular hybrid automatawhere the plant state evolves continuously in real-numbe...
Thomas A. Henzinger, Peter W. Kopke