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» Ranking of Object Summaries
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107
Voted
ICML
2007
IEEE
16 years 1 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
15 years 7 months 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
120
Voted
ECML
2003
Springer
15 years 5 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
97
Voted
IJCNN
2007
IEEE
15 years 6 months 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...
104
Voted
QSIC
2008
IEEE
15 years 6 months 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