1419 search results - page 109 / 284 » Approximation Methods for Supervised Learning |
96
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
87
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
115
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
HCI
2007
15 years 2 months ago
2007
In this paper we present a semi-automatic ontology editor as implemented in a new version of OntoGen system. The system integrates machine learning and text mining algorithms into ...
IJON
2002
15 years 6 days ago
2002
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...