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» Sublinear Optimization for Machine Learning
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ALT
2010
Springer
13 years 10 months ago
Optimal Online Prediction in Adversarial Environments
: In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modeled as an adversary with whom ...
Peter L. Bartlett
ICML
2004
IEEE
14 years 9 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ICML
2009
IEEE
14 years 3 months ago
Online learning by ellipsoid method
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...
Liu Yang, Rong Jin, Jieping Ye
ICML
2009
IEEE
14 years 3 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider
GECCO
2004
Springer
14 years 2 months ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi