3 search results - page 1 / 1 » Data-Dependent Margin-Based Generalization Bounds for Classi... |
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Voted
COLT
2001
Springer
15 years 2 months ago
2001
Springer
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
IDA
2002
Springer
14 years 9 months ago
2002
Springer
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...