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ICML
2007
IEEE
16 years 6 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
HT
2009
ACM
16 years 13 days ago
Comparing the performance of us college football teams in the web and on the field
In previous research it has been shown that link-based web page metrics can be used to predict experts’ assessment of quality. We are interested in a related question: do expert...
Martin Klein, Olena Hunsicker, Michael L. Nelson
ECML
2003
Springer
15 years 11 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
IJCNN
2007
IEEE
16 years 7 days ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
QSIC
2008
IEEE
16 years 9 days ago
Path and Context Sensitive Inter-procedural Memory Leak Detection
This paper presents a practical path and context sensitive inter-procedural analysis method for detecting memory leaks in C programs. A novel memory object model and function summ...
Zhongxing Xu, Jian Zhang