421 search results - page 47 / 85 » Reducing Label Complexity by Learning From Bags |
76
Voted
DGO
2008
14 years 11 months ago
2008
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
75
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
NIPS
2001
14 years 11 months ago
2001
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the q...
103
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...