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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 4 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
WCE
2007
14 years 11 months ago
On Line Surface Roughness Measurement Using Image Processing and Machine Vision
- Machine vision has evolved to become a mainstream automation tool, enabling computers to replace human vision in high speed and precision manufacturing techniques. Images usually...
M. Rajaram Narayanan, S. Gowri, M. Murali Krishna
AIRS
2010
Springer
14 years 7 months ago
Effective Time Ratio: A Measure for Web Search Engines with Document Snippets
The dominant method for evaluating search engines is the Cranfield paradigm, but the existing metrics do not consider some modern search engines features, such as document snippets...
Jing He, Baihan Shu, Xiaoming Li, Hongfei Yan
INFOCOM
2007
IEEE
15 years 4 months ago
Residual-Based Measurement of Peer and Link Lifetimes in Gnutella Networks
—Existing methods of measuring lifetimes in P2P systems usually rely on the so-called Create-Based Method (CBM) [16], which divides a given observation window into two halves and...
Xiaoming Wang, Zhongmei Yao, Dmitri Loguinov
ALT
2005
Springer
15 years 6 months ago
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
Arthur Gretton, Olivier Bousquet, Alex J. Smola, B...