2884 search results - page 116 / 577 » Evaluating learning algorithms and classifiers |
129
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
102
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JMLR
2011
14 years 11 months ago
2011
This paper presents the CLUSTERING ALGORITHMS’ REFEREE PACKAGE or CARP, an open source GNU GPL-licensed C package for evaluating clustering algorithms. Calibrating performance o...
145
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbou...
155
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
155
Voted
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...