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ECAI
2010
Springer
15 years 4 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
150views Control Systems» more  CDC 2010»
15 years 1 months ago
Consensus on asynchronous communication networks in presence of external input
This paper presents a class of multi-agent systems where the state of each agent is driven by its own local protocol, and by exogenous time-varying input signal. These inputs may r...
C. Pilotto, K. M. Chandy, J. White
INFOCOM
2011
IEEE
14 years 10 months ago
Smart sleep: Sleep more to reduce delay in duty-cycled wireless sensor networks
A simple random walk (SRW) has been considered as an effective forwarding method for many applications in wireless sensor networks (WSNs) due to its desirable properties. However...
Chul-Ho Lee, Do Young Eun
ICDE
2008
IEEE
136views Database» more  ICDE 2008»
16 years 8 months ago
Processing Event-Monitoring Queries in Sensor Networks
In this paper we present algorithms for building and maintaining efficient collection trees that provide the conduit to disseminate data required for processing monitoring queries...
Vassilis Stoumpos, Antonios Deligiannakis, Yannis ...
ICML
2006
IEEE
16 years 7 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor