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» Inference Algorithms for Similarity Networks
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KESAMSTA
2010
Springer
15 years 11 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
16 years 26 days 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
16 years 25 days 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 12 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
PERCOM
2004
ACM
16 years 5 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...