543 search results - page 52 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
BMCBI
2010
13 years 5 months ago
2010
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...