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» Magnitude-preserving ranking algorithms
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ECTEL
2007
Springer
16 years 9 days ago
Relevance Ranking Metrics for Learning Objects
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
Xavier Ochoa, Erik Duval
138
Voted
IJCNN
2006
IEEE
16 years 4 days ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
TACAS
2004
Springer
135views Algorithms» more  TACAS 2004»
15 years 11 months ago
Liveness with Incomprehensible Ranking
Abstract. The methods of Invisible Invariants and Invisible Ranking were developed originally in order to verify temporal properties of parameterized systems in a fully automatic m...
Yi Fang, Nir Piterman, Amir Pnueli, Lenore D. Zuck
124
Voted
JMLR
2011
106views more  JMLR 2011»
15 years 1 months ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin
167
Voted
SIGIR
2005
ACM
15 years 11 months ago
Exploiting the hierarchical structure for link analysis
Link analysis algorithms have been extensively used in Web information retrieval. However, current link analysis algorithms generally work on a flat link graph, ignoring the hiera...
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Z...