313 search results - page 49 / 63 » Boosting with Diverse Base Classifiers |
RECOMB
2008
Springer
15 years 9 months ago
2008
Springer
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
ER
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. The popularity and press surrounding the release of XML has created widespread interest in standards within particular communities that focus on representing content. The...
JMLR
2008
14 years 9 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
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Voted
MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
From the standpoint of the automated extraction of scientific knowledge, an important but little-studied part of scientific publications are the figures and accompanying captions....