1091 search results - page 69 / 219 » Learning Models for Predicting Recognition Performance |
ICAC
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...
BMCBI
2006
14 years 9 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
113
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IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
125
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ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
PRL
2007
14 years 9 months ago
2007
The bottleneck in interactive visual classification is the exchange of information between human and machine. We introduce the concept of the visible model, which is an ion of an ...