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» Variability in Automation System Models
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NIPS
2003
15 years 8 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
15 years 10 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada
NECO
1998
119views more  NECO 1998»
15 years 6 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
TIP
2002
129views more  TIP 2002»
15 years 6 months ago
A vision-based masking model for spread-spectrum image watermarking
Abstract-- We present a perceptual model for hiding a spreadspectrum watermark of variable amplitude and density in an image. The model takes into account the sensitivity and maski...
Martin Kutter, Stefan Winkler
FIW
2007
133views Communications» more  FIW 2007»
15 years 8 months ago
Conflict Detection in Call Control Using First-Order Logic Model Checking
Feature interaction detection methods, whether online or offline, depend on previous knowledge of conflicts between the actions executed by the features. This knowledge is usually ...
Ahmed F. Layouni, Luigi Logrippo, Kenneth J. Turne...