992 search results - page 44 / 199 » Evolutionary Learning Using a Sensitivity-Accuracy Approach ... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
71
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for auto...
83
Voted
KDD
2007
ACM
15 years 10 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...
ICTAI
2010
IEEE
14 years 7 months ago
2010
IEEE
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
SEMWEB
2010
Springer
14 years 7 months ago
2010
Springer
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...