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CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
16 years 27 days ago
Coverage control for mobile networks with limited-range anisotropic sensors
Abstract— In this paper the coverage control for mobile sensor networks is studied. The novelty is to consider an anisotropic sensor model where the performance of the sensor dep...
Azwirman Gusrialdi, Takeshi Hatanaka, Masayuki Fuj...
ETFA
2006
IEEE
16 years 14 days ago
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Y. Xiang, K. Zhang
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 12 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
INFORMATICALT
2010
169views more  INFORMATICALT 2010»
15 years 4 months ago
Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...
Inga Zutautaite-Seputiene, Juozas Augutis, Laimuti...
JMLR
2010
88views more  JMLR 2010»
15 years 1 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan