570 search results - page 1 / 114 » When does Co-training Work in Real Data? |
PAKDD
2009
ACM
14 years 1 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
SIGIR
2008
ACM
13 years 6 months ago
2008
ACM
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
AAECC
2007
Springer
13 years 6 months ago
2007
Springer
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
TSE
2012
11 years 8 months ago
2012
— As firms increasingly rely on information systems to perform critical functions the consequences of software defects can be catastrophic. Although the software engineering lite...
CARS
2003
13 years 7 months ago
2003
The goal of the data collection and analyses described in this paper was to investigate the effects of incorrect output from a CAD tool on the reliability of the decisions of its ...