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ENTCS
2007
121views more  ENTCS 2007»
15 years 6 months ago
Incremental Parametric Development of Greedy Algorithms
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
Dominique Cansell, Dominique Méry
ML
2008
ACM
15 years 6 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
JSAC
2006
183views more  JSAC 2006»
15 years 6 months ago
HiRLoc: high-resolution robust localization for wireless sensor networks
In this paper we address the problem of robustly estimating the position of randomly deployed nodes of a Wireless Sensor Network (WSN), in the presence of security threats. We prop...
Loukas Lazos, Radha Poovendran
FMSD
2007
133views more  FMSD 2007»
15 years 6 months ago
Static priority scheduling of event-triggered real-time embedded systems
Real-time embedded systems are often specified as a collection of independent tasks, each generating a sequence of event-triggered code blocks, and the scheduling in this domain ...
Cagkan Erbas, Andy D. Pimentel, Selin Cerav-Erbas
MP
2006
87views more  MP 2006»
15 years 6 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
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