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» An algorithmic framework for network reconstruction
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TSMC
2002
156views more  TSMC 2002»
13 years 7 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
ATMOS
2010
128views Optimization» more  ATMOS 2010»
13 years 6 months ago
Robust Train Routing and Online Re-scheduling
Train Routing is a problem that arises in the early phase of the passenger railway planning process, usually several months before operating the trains. The main goal is to assign...
Alberto Caprara, Laura Galli, Leo G. Kroon, G&aacu...
TPDS
2010
143views more  TPDS 2010»
13 years 6 months ago
FIT: A Flexible, Lightweight, and Real-Time Scheduling System for Wireless Sensor Platforms
—We propose FIT, a flexible, lightweight, and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hierarchical...
Wei Dong, Chun Chen, Xue Liu, Kougen Zheng, Rui Ch...
ICDE
2009
IEEE
178views Database» more  ICDE 2009»
13 years 5 months ago
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Bhargav Kanagal, Amol Deshpande
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
13 years 2 months ago
Formal analysis of piecewise affine systems through formula-guided refinement
Abstract-- We present a computational framework for identifying a set of initial states from which all trajectories of a piecewise affine (PWA) system satisfy a Linear Temporal Log...
Boyan Yordanov, Jana Tumova, Calin Belta, Ivana Ce...