1845 search results - page 28 / 369 » Machine-Learning Applications of Algorithmic Randomness |
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
118
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ML
2006
ACM
15 years 1 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
106
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CVPR
2005
IEEE
16 years 3 months ago
2005
IEEE
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified usin...
167
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BMCBI
2010
15 years 1 months ago
2010
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
106
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NIPS
2007
15 years 2 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...