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» Shallow Dependency Labeling
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WWW
2009
ACM
14 years 9 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 9 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
MM
2009
ACM
159views Multimedia» more  MM 2009»
14 years 3 months ago
Visual categorization with negative examples for free
Automatic visual categorization is critically dependent on labeled examples for supervised learning. As an alternative to traditional expert labeling, social-tagged multimedia is ...
Xirong Li, Cees G. M. Snoek
ECML
2003
Springer
14 years 2 months ago
Pairwise Preference Learning and Ranking
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
Johannes Fürnkranz, Eyke Hüllermeier
3DPVT
2002
IEEE
131views Visualization» more  3DPVT 2002»
14 years 1 months ago
Octree approximation and compression methods
Techniques are presented to progressively approximate and compress in a lossless manner two-colored (i.e. binary) 3D objects (as well as objects of arbitrary dimensionality). The ...
Hanan Samet, Andrzej Kochut