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» Decision Making Using Probabilistic Inference Methods
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ICDE
2007
IEEE
138views Database» more  ICDE 2007»
16 years 2 months ago
Representing and Querying Correlated Tuples in Probabilistic Databases
Probabilistic databases have received considerable attention recently due to the need for storing uncertain data produced by many real world applications. The widespread use of pr...
Prithviraj Sen, Amol Deshpande
CEC
2007
IEEE
15 years 1 months ago
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings
— The computation of periodic orbits of nonlinear mappings is very important for studying and better understanding the dynamics of complex systems. Evolutionary algorithms have s...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
IJON
2010
109views more  IJON 2010»
14 years 8 months ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney
93
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NOSSDAV
2004
Springer
15 years 7 months ago
Passive inference of path correlation
Overlays have been proposed as a means to improve application performance in many areas, including multimedia streaming and content distribution. Some overlays use parallel transm...
Lili Wang, Jim Griffioen, Kenneth L. Calvert, Sher...
MLDM
2007
Springer
15 years 7 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...