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RSA
2010
107views more  RSA 2010»
15 years 6 months ago
Continuum limits for classical sequential growth models
A random graph order, also known as a transitive percolation process, is defined by taking a random graph on the vertex set {0, . . . , n − 1}, and putting i below j if there i...
Graham Brightwell, Nicholas Georgiou
SRDS
2006
IEEE
16 years 1 months ago
Solving Consensus Using Structural Failure Models
Failure models characterise the expected component failures in fault-tolerant computing. In the context of distributed systems, a failure model usually consists of two parts: a fu...
Timo Warns, Felix C. Freiling, Wilhelm Hasselbring
PRL
2010
149views more  PRL 2010»
15 years 2 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
VISSYM
2004
15 years 9 months ago
Interactively Visualizing Procedurally Encoded Scalar Fields
Figure 1: RBF reconstruction of unstructured CFD data. (a) Volume rendering of 1,943,383 tetrahedral shock data set using 2,932 RBF functions. (b) Volume rendering of a 156,642 te...
Yun Jang, Manfred Weiler, Matthias Hopf, Jingshu H...
BMCBI
2006
142views more  BMCBI 2006»
15 years 7 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
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