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» Nonlinear Component Analysis as a Kernel Eigenvalue Problem
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ESANN
2006
15 years 1 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
PR
2006
147views more  PR 2006»
14 years 11 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
BMCBI
2010
243views more  BMCBI 2010»
14 years 11 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
INFOCOM
2007
IEEE
15 years 6 months ago
Information Survival Threshold in Sensor and P2P Networks
— Consider a network of, say, sensors, or P2P nodes, or bluetooth-enabled cell-phones, where nodes transmit information to each other and where links and nodes can go up or down....
Deepayan Chakrabarti, Jure Leskovec, Christos Falo...
CAGD
2007
119views more  CAGD 2007»
14 years 11 months ago
Principal curvatures from the integral invariant viewpoint
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
Helmut Pottmann, Johannes Wallner, Yong-Liang Yang...