548 search results - page 60 / 110 » Iterated importance sampling in missing data problems |
123
click to vote
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
119
click to vote
SIGMOD
2001
ACM
15 years 11 months ago
2001
ACM
The ability to approximately answer aggregation queries accurately and efficiently is of great benefit for decision support and data mining tools. In contrast to previous sampling...
ICPR
2004
IEEE
16 years 4 days ago
2004
IEEE
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
SIGIR
2003
ACM
15 years 4 months ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
ICTAI
2009
IEEE
14 years 8 months ago
2009
IEEE
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...