581 search results - page 92 / 117 » EM in High Dimensional Spaces |
199
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JMLR
2010
15 years 26 days ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
182
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
168
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LSSC
2001
Springer
15 years 10 months ago
2001
Springer
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
177
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
178
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CSL
2006
Springer
15 years 6 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...