1313 search results - page 183 / 263 » Dimensionality Reduction for Classification |
123
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ALMOB
2006
15 years 3 months ago
2006
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
161
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JMLR
2012
13 years 5 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
126
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NIPS
2004
15 years 4 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
151
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WEBI
2010
Springer
15 years 28 days ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
128
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EMNLP
2009
15 years 26 days ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...