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AI
2007
Springer
15 years 4 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
PSD
2004
Springer
132views Database» more  PSD 2004»
15 years 3 months ago
Computational Experiments with Minimum-Distance Controlled Perturbation Methods
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can dea...
Jordi Castro
ICVS
2003
Springer
15 years 3 months ago
Efficient Fingertip Tracking and Mouse Pointer Control for a Human Mouse
This paper discusses the design of a working system that visually recognizes hand gestures for the control of a window based user interface. We present a method for tracking the fi...
Jiyoung Park, Juneho Yi
CBSE
2008
Springer
14 years 12 months ago
A Component Model for Control-Intensive Distributed Embedded Systems
Abstract. In this paper we focus on design of a class of distributed embedded systems that primarily perform real-time controlling tasks. We propose a two-layer component model for...
Séverine Sentilles, Aneta Vulgarakis, Tom&a...
DAIS
2010
14 years 11 months ago
Distributed Fault Tolerant Controllers
Distributed applications are often built from sets of distributed components that must be co-ordinated in order to achieve some global behaviour. The common approach is to use a c...
Leonardo Mostarda, Rudi Ball, Naranker Dulay