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» Generation of Attributes for Learning Algorithms
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FOCS
2003
IEEE
14 years 2 months ago
Learning DNF from Random Walks
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell,...
IROS
2007
IEEE
154views Robotics» more  IROS 2007»
14 years 3 months ago
Ground truth evaluation of large urban 6D SLAM
Abstract— In the past many solutions for simultaneous localization and mapping (SLAM) have been presented. Recently these solutions have been extended to map large environments w...
Oliver Wulf, Andreas Nüchter, Joachim Hertzbe...
AINA
2007
IEEE
14 years 3 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu
ICML
2004
IEEE
14 years 9 months ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer
MCS
2007
Springer
14 years 3 months ago
Cooperative Coevolutionary Ensemble Learning
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
Daniel Kanevskiy, Konstantin Vorontsov