152 search results - page 30 / 31 » Multi-Class SVM for Large Data Sets Considering Models of Cl... |
PRL
2010
13 years 4 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
EUROSYS
2010
ACM
13 years 11 months ago
2010
ACM
The deluge of huge data sets such as those provided by
sensor networks, online transactions, and the web provide
exciting opportunities for data analysis. The scale of the
data ...
SIGMOD
2008
ACM
14 years 5 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
NECO
2011
13 years 15 days ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...