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IJAR
2002
102views more  IJAR 2002»
15 years 4 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
CORR
2010
Springer
80views Education» more  CORR 2010»
15 years 4 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
DAGSTUHL
2007
15 years 6 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
ENTCS
2007
105views more  ENTCS 2007»
15 years 4 months ago
A Probabilistic Scheduler for the Analysis of Cryptographic Protocols
When modelling cryto-protocols by means of process calculi which express both nondeterministic and probabilistic behavior, it is customary to view the scheduler as an intruder. It...
Srecko Brlek, Sardaouna Hamadou, John Mullins
ICPR
2004
IEEE
16 years 5 months ago
A Bayesian Approach for 3D Models Retrieval Based on Characteristic Views
The management of big databases of threedimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easil...
Jean-Philippe Vandeborre, Mohamed Daoudi, Tarik Fi...