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109
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PRL
2006
15 years 2 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
130
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IJON
1998
15 years 2 months ago
1998
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
165
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IJON
2010
15 years 27 days ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
163
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WWW
2011
ACM
14 years 9 months ago
2011
ACM
Computing the degree of semantic relatedness of words is a key functionality of many language applications such as search, clustering, and disambiguation. Previous approaches to c...
154
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KDD
2003
ACM
16 years 2 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...