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ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
IPPS
2009
IEEE
16 years 1 months ago
A cross-input adaptive framework for GPU program optimizations
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
Yixun Liu, Eddy Z. Zhang, Xipeng Shen
EMSOFT
2005
Springer
16 years 1 days ago
AutoDVS: an automatic, general-purpose, dynamic clock scheduling system for hand-held devices
We present AutoDVS, a dynamic voltage scaling (DVS) system for hand-held computers. Unlike extant DVS systems, AutoDVS distinguishes common, course-grain, program behavior and cou...
Selim Gurun, Chandra Krintz
BMCBI
2010
190views more  BMCBI 2010»
15 years 6 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
15 years 8 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire