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» Interval Methods: An Introduction
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124
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NN
2006
Springer
15 years 2 months ago
Machine learning in soil classification
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
Biswanath Bhattacharya, Dimitri P. Solomatine
160
Voted
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
15 years 2 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
109
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Jump Function Kolmogorov for overlapping audio event classification
This paper presents a novel method for audio event classi cation in overlapping conditions. The method is based on Jump Function Kolmogorov (JFK), a stochastic representation, whi...
Tran Huy Dat, Haizhou Li
154
Voted
BMCBI
2005
103views more  BMCBI 2005»
15 years 2 months ago
Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...
162
Voted
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
16 years 3 months ago
Rendering Implicit Flow Volumes
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
Daqing Xue, Caixia Zhang, Roger Crawfis