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» Modelling Variability for System Families
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PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
15 years 7 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
131
Voted
TIP
2002
129views more  TIP 2002»
15 years 3 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
132
Voted
NECO
1998
119views more  NECO 1998»
15 years 3 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
EACL
1989
ACL Anthology
15 years 4 months ago
A Metaplan Model For Problem-Solving Discourse
The structure of problem-solving discourse in the expert advising setting can be modeled by adding a layer of metaplans to a plan-based model of the task domain. Classes of metapl...
Lance A. Ramshaw
93
Voted
APPML
2010
92views more  APPML 2010»
15 years 3 months ago
Label structured cell proliferation models
We present a general class of cell population models that can be used to track the proliferation of cells which have been labeled with a fluorescent dye. The mathematical models e...
H. T. Banks, Frédérique Charles, Mar...