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» Data Discretization Unification
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ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
14 years 2 months ago
A Non-parametric Semi-supervised Discretization Method
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Alexis Bondu, Marc Boullé, Vincent Lemaire,...
IADIS
2004
13 years 9 months ago
A note on the distribution of packet arrivals in high-speed data networks
A simple explanation is given of an anomaly often detected in traffic measurement when packet timings are truncated to nearest whole numbers. The correct observed discrete distrib...
Vic Grout, Stuart Cunningham, Denise Oram, Rich He...
COMPGEOM
2001
ACM
13 years 11 months ago
Discrete mobile centers
We propose a new randomized algorithm for maintaining a set of clusters among moving nodes in the plane. Given a specified cluster radius, our algorithm selects and maintains a va...
Jie Gao, Leonidas J. Guibas, John Hershberger, Li ...
ICML
1999
IEEE
14 years 8 months ago
Making Better Use of Global Discretization
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
Eibe Frank, Ian H. Witten
DSD
2009
IEEE
148views Hardware» more  DSD 2009»
14 years 2 months ago
SIMD Architectural Enhancements to Improve the Performance of the 2D Discrete Wavelet Transform
—The 2D Discrete Wavelet Transform (DWT) is a time-consuming kernel in many multimedia applications such as JPEG2000 and MPEG-4. The 2D DWT consists of horizontal filtering alon...
Asadollah Shahbahrami, Ben H. H. Juurlink