159 search results - page 15 / 32 » Regularization in matrix relevance learning |
MLDM
2009
Springer
15 years 2 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We use a generalization of the Lindeberg principle developed by Sourav Chatterjee to prove universality properties for various problems in communications, statistical learning and...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
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ML
2010
ACM
14 years 8 months ago
2010
ACM
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...