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» Evaluating Feature Selection for SVMs in High Dimensions
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97
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CG
2002
Springer
15 years 7 days ago
A Small Go Board Study of Metric and Dimensional Evaluation Functions
The difficulty to write successful 19x19 go programs lies not only in the combinatorial complexity of go but also in the complexity of designing a good evaluation function containi...
Bruno Bouzy
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 25 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
102
Voted
MM
2010
ACM
175views Multimedia» more  MM 2010»
15 years 18 days ago
Subjective evaluation of scalable video coding for content distribution
This paper investigates the influence of the combination of the scalability parameters in scalable video coding (SVC) schemes on the subjective visual quality. We aim at providing...
Jong-Seok Lee, Francesca De Simone, Naeem Ramzan, ...
97
Voted
BMCBI
2008
109views more  BMCBI 2008»
15 years 16 days ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...