167 search results - page 22 / 34 » Supervised Feature Extraction Using Hilbert-Schmidt Norms |
105
Voted
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
100
Voted
INFOCOM
1997
IEEE
15 years 3 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
86
Voted
AUSDM
2006
Springer
15 years 3 months ago
2006
Springer
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
114
Voted
PR
2011
14 years 2 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
99
Voted
ADBIS
2003
Springer
15 years 4 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...