581 search results - page 92 / 117 » EM in High Dimensional Spaces |
124
Voted
JMLR
2010
14 years 7 months 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 ...
118
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KDD
2004
ACM
16 years 27 days 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...
118
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LSSC
2001
Springer
15 years 4 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 ...
119
Voted
IJCNN
2000
IEEE
15 years 4 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...
125
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CSL
2006
Springer
15 years 15 days 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...