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» Metric and Kernel Learning Using a Linear Transformation
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102
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TIM
2010
148views Education» more  TIM 2010»
14 years 8 months ago
Measurement of Heart Rate Variability Using an Oscillometric Blood Pressure Monitor
Abstract--We apply the maximal overlap discrete wavelet transform (MODWT)-based spectral density estimation method to measure heart rate variability (HRV) from short-duration pulse...
S. Ahmad, Miodrag Bolic, Hilmi R. Dajani, Voicu Gr...
113
Voted
CONEXT
2007
ACM
15 years 3 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
NIPS
2007
15 years 3 months ago
Hierarchical Penalization
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
Marie Szafranski, Yves Grandvalet, Pierre Morizet-...
JMLR
2008
148views more  JMLR 2008»
15 years 1 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
JCIT
2008
112views more  JCIT 2008»
15 years 1 months ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco