421 search results - page 8 / 85 » Reducing Label Complexity by Learning From Bags |
NLE
2008
14 years 9 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
87
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KDD
2009
ACM
15 years 4 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
107
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BMCBI
2010
14 years 9 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
ICANN
2010
Springer
14 years 9 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...