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IJCNN
2006
IEEE
15 years 5 months 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
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 2 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
ECIR
2010
Springer
15 years 1 months ago
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP)...
Guido Zuccon, Leif Azzopardi
WEBI
2005
Springer
15 years 5 months ago
Page-reRank: Using Trusted Links to Re-Rank Authority
The basis of much of the intelligence on the Web is the hyperlink structure which represents an organising principle based on the human facility to be able to discriminate between...
Paolo Massa, Conor Hayes
PR
2011
14 years 2 months ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...