1364 search results - page 60 / 273 » Sampling Methods for Unsupervised Learning |
147
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
137
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NAACL
2010
15 years 9 days ago
2010
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
131
Voted
KDD
2005
ACM
16 years 2 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
115
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ESANN
2007
15 years 3 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
126
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ISBI
2006
IEEE
15 years 8 months ago
2006
IEEE
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...