3449 search results - page 361 / 690 » A Framework for Multiple-Instance Learning |
152
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AAAI
2008
15 years 7 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
176
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ESANN
2007
15 years 6 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
156
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CIKM
2011
Springer
14 years 4 months ago
2011
Springer
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
224
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
130
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...