4578 search results - page 124 / 916 » Learning from Multi-source Data |
NCA
2007
IEEE
15 years 1 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
ISMIS
2005
Springer
15 years 7 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
133
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PR
2011
14 years 4 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
105
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ICDE
2007
IEEE
15 years 5 months ago
2007
IEEE
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
121
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....