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» Measuring Component Adaptation
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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 6 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
TIM
2010
168views Education» more  TIM 2010»
15 years 1 months ago
Thermal Event Recognition Applied to Protection of Tokamak Plasma-Facing Components
Magnetic confinement fusion tokamaks are complex devices where a large amount of power is required to make the fusion reactions happen. In such experimental conditions, Plasma Faci...
Vincent Martin, Jean-Marcel Travere, Franço...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 6 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
EWC
2007
60views more  EWC 2007»
15 years 6 months ago
A simulation-based design paradigm for complex cast components
This paper describes and exercises a new design paradigm for cast components. The methodology integrates foundry process simulation, non-destructive evaluation (nde), stress analys...
Stéphane P. A. Bordas, James G. Conley, Bri...
CIKM
2010
Springer
15 years 4 months ago
Ranking related entities: components and analyses
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
Marc Bron, Krisztian Balog, Maarten de Rijke