19 search results - page 4 / 4 » Density Biased Sampling: An Improved Method for Data Mining ... |
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
CGF
2007
13 years 8 months ago
2007
We present a novel framework for efficiently computing the indirect illumination in diffuse and moderately glossy scenes using density estimation techniques. Many existing global...