1859 search results - page 210 / 372 » Using Problems to Learn Service-Oriented Computing |
126
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
135
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CVPR
2005
IEEE
16 years 7 months ago
2005
IEEE
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
176
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HUMO
2000
Springer
15 years 8 months ago
2000
Springer
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning archit...
198
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SDM
2011
SIAM
14 years 8 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
140
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KDD
2007
ACM
16 years 5 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...