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ICONIP
2007
15 years 4 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ICASSP
2010
IEEE
15 years 2 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
137
Voted
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 2 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
138
Voted
ENGL
2007
103views more  ENGL 2007»
15 years 2 months ago
Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...
Stefania Gallova
142
Voted
SIAMAM
2008
121views more  SIAMAM 2008»
15 years 2 months ago
A Level Set Approach to Anisotropic Surface Evolution with Free Adatoms
We variationally derive a thermodynamically consistent model for surface evolution under the influence of free adatoms. The resulting system of nonlinear partial differential equat...
Christina Stöcker, Axel Voigt