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» Inference Algorithms for Similarity Networks
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KESAMSTA
2010
Springer
15 years 8 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
CIKM
2009
Springer
15 years 9 months ago
Collaborative filtering using random neighbours in peer-to-peer networks
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Arno Bakker, Elth Ogston, Maarten van Steen
SUM
2009
Springer
15 years 9 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
IPPS
2005
IEEE
15 years 8 months ago
Using Leader-Based Communication to Improve the Scalability of Single-Round Group Membership Algorithms
Sigma, the first single-round group membership (GM) algorithm, was recently introduced and demonstrated to operate consistently with theoretical expectations in a simulated WAN en...
Roger Khazan, Sophia Yuditskaya
94
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PERCOM
2004
ACM
16 years 2 months ago
Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing
One way to improve inferences on sensor data is to tune the algorithms through a time-consuming offline procedure. A less expensive, and potentially more accurate method is to use...
Ezekiel S. Bhasker, Steven W. Brown, William G. Gr...