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IJAR
2008
119views more  IJAR 2008»
13 years 9 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
SAC
2008
ACM
13 years 8 months ago
Serpentine: adaptive middleware for complex heterogeneous distributed systems
Adaptation of system parameters is acknowledged as a requirement to scalable and dependable distributed systems. Unfortunately, adaptation cannot be effective when provided solely...
Miguel Matos, Alfrânio Correia Jr., Jos&eacu...
ICASSP
2008
IEEE
14 years 3 months ago
Robust adaptive beamforming using sequential quadratic programming
In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed...
Aboulnasr Hassanien, Sergiy A. Vorobyov, Kon Max W...
CG
2008
Springer
13 years 9 months ago
A simple and flexible framework to adapt dynamic meshes
Many graphics applications represent deformable surfaces through dynamic meshes. To be consistent during deformations, the dynamic meshes require an adaptation process. In this pa...
Fernando de Goes, Siome Goldenstein, Luiz Velho
INFOCOM
2008
IEEE
14 years 3 months ago
On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks
—We argue that the traditional notion of trust as a relation among entities, while useful, becomes insufficient for emerging data-centric mobile ad hoc networks. In these system...
Maxim Raya, Panagiotis Papadimitratos, Virgil D. G...