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ECAI
2010
Springer
15 years 3 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
CDC
2010
IEEE
294views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive self-triggered control over IEEE 802.15.4 networks
The communication protocol IEEE 802.15.4 is becoming pervasive for low power and low data rate wireless sensor networks (WSNs) applications, including control and automation. Never...
Ubaldo Tiberi, Carlo Fischione, Karl Henrik Johans...
MONET
2011
15 years 1 months ago
On Adaptive Density Deployment to Mitigate the Sink-Hole Problem in Mobile Sensor Networks
Abstract The use of mobile sensors is of great relevance to monitor critical areas where sensors cannot be deployed manually. The presence of data collector sinks causes increased ...
Novella Bartolini, Tiziana Calamoneri, Annalisa Ma...
TSP
2011
161views more  TSP 2011»
15 years 1 months ago
Mean-Square Error in Periodogram Approaches With Adaptive Windowing
Abstract—Modified periodogram approaches are nonparametric power spectral density (PSD) estimators. Here, we present a method for estimating the mean-square error (MSE) of these...
Soosan Beheshti, M. Ravan, J. P. Reilly, L. J. Tra...
ECBS
2011
IEEE
197views Hardware» more  ECBS 2011»
14 years 6 months ago
Finding Interaction Faults Adaptively Using Distance-Based Strategies
Abstract—Software systems are typically large and exhaustive testing of all possible input parameters is usually not feasible. Testers select tests that they anticipate may catch...
Renée C. Bryce, Charles J. Colbourn, D. Ric...