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ESANN
2006
13 years 8 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...
GPEM
2008
128views more  GPEM 2008»
13 years 7 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
ICIP
2008
IEEE
14 years 9 months ago
Shot classification for action movies based on motion characteristics
In this paper, we propose a shot classification method for action movies. Considering that motion characteristic is very important for semantic movie analysis, and it contains abu...
Shuhui Wang, Shuqiang Jiang, Qingming Huang, Wen G...
BMCBI
2011
12 years 11 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
CSCW
2012
ACM
12 years 3 months ago
Public curation of a historic collection: a means for speaking safely in public
We showcase the Voices from the Rwanda Tribunal project and associated website that provides online public access to a set of historic video interviews with personnel from the Int...
Trond T. Nilsen, Nell Carden Grey, Batya Friedman