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» Interval Methods: An Introduction
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MOC
2000
91views more  MOC 2000»
14 years 9 months ago
A parallel method for time-discretization of parabolic problems based on contour integral representation and quadrature
We treat the time discretization of an initial-value problem for a ous abstract parabolic equation by first using a representation of the solution as an integral along the boundary...
Dongwoo Sheen, Ian H. Sloan, Vidar Thomée
WSC
2001
14 years 11 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
SIGIR
2008
ACM
14 years 9 months ago
A simple and efficient sampling method for estimating AP and NDCG
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam
BMCBI
2011
14 years 1 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
CMMR
2003
Springer
94views Music» more  CMMR 2003»
15 years 2 months ago
Real-Time Beat Estimation Using Feature Extraction
This paper presents a novel method for the estimation of beat interval from audio files. As a first step, a feature extracted from the waveform is used to identify note onsets. T...
Kristoffer Jensen, Tue Haste Andersen