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IAT
2005
IEEE
16 years 25 days ago
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
Cory J. Butz
ECSQARU
2003
Springer
16 years 14 days ago
A Multi-layered Bayesian Network Model for Structured Document Retrieval
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and prese...
Fabio Crestani, Luis M. de Campos, Juan M. Fern&aa...
AIPS
2008
15 years 9 months ago
Using Constraint Networks on Timelines to Model and Solve Planning and Scheduling Problems
In the last decades, there has been an increasing interest in the connection between planning and constraint programming. Several approaches were used, leading to different forms ...
Cédric Pralet, Gérard Verfaillie
JSAC
2008
82views more  JSAC 2008»
15 years 7 months ago
Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networ
Abstract-- This paper considers the integration of communication and control with respect to the task of coordinated heading control for a group of N vehicles. The heading control ...
Daniel J. Klein, Phillip Lee, Kristi A. Morgansen,...
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 5 months ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...