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» The changing science of machine learning
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CIDU
2010
13 years 7 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
PKDD
2001
Springer
168views Data Mining» more  PKDD 2001»
14 years 1 months ago
Identification of ECG Arrhythmias Using Phase Space Reconstruction
Changes in the normal rhythmicity of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart when sustain...
Felice M. Roberts, Richard J. Povinelli, Kristina ...
PR
2006
147views more  PR 2006»
13 years 9 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 11 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
AIME
2007
Springer
14 years 3 months ago
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, La...