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174
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ESANN
2006
15 years 5 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...
137
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BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
145
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IJFCS
2006
130views more  IJFCS 2006»
15 years 3 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
172
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CANDC
2009
ACM
15 years 1 months ago
Designing to support reasoned imagination through embodied metaphor
Supporting users' reasoned imagination in sense making during interaction with tangible and embedded computation involves supporting the application of their existing mental ...
Alissa Nicole Antle, Greg Corness, Saskia Bakker, ...
127
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HUC
2011
Springer
14 years 3 months ago
LightWave: using compact fluorescent lights as sensors
In this paper, we describe LightWave, a sensing approach that turns ordinary compact fluorescent light (CFL) bulbs into sensors of human proximity. Unmodified CFL bulbs are shown ...
Sidhant Gupta, Ke-Yu Chen, Matthew S. Reynolds, Sh...