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» Random Projection Trees Revisited
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ICML
2006
IEEE
14 years 6 months ago
An empirical comparison of supervised learning algorithms
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
Rich Caruana, Alexandru Niculescu-Mizil
ICASSP
2008
IEEE
14 years 7 days ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ESANN
2006
13 years 7 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...
MOBIQUITOUS
2008
IEEE
14 years 5 days ago
How to edit gigabyte XML files on a mobile phone with XAS, RefTrees, and RAXS
The Open Source mobility middleware developed in the Fuego Core project provides a stack for efficient XML processing on limited devices. Its components are a persistent map API, ...
Tancred Lindholm, Jaakko Kangasharju
ISBRA
2010
Springer
13 years 4 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...