Pranking with Ranking (2001)

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by Koby Crammer , Yoram Singer
Venue:Advances in Neural Information Processing Systems 14
Citations:167 - 6 self

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LETTER Communicated by Edward Harrington Online Ranking by Projecting – Koby Crammer, Yoram Singer
Online learning of graphical models – Frédéric Koriche - 2010
Clustering people according to their preference – Jorge Díez, Juan José Del Coz, Oscar Luaces, Antonio Bahamonde
1 A Neural Network Approach to Ordinal Regression – Jianlin Cheng, Zheng Wang, Gianluca Pollastri
21 Probabilistic Models for Combining Diverse Knowledge Sources in Multimedia Retrieval – Rong Yan - 2006
51 discriminant model for information retrieval – Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-yun Nie - 2005
Intelligence Uniform Convergence, Stability and Learnability for Ranking Problems – Wei Gao, Zhi-hua Zhou - 2013
8 A uniform convergence bound for the area under the ROC curve – Shivani Agarwal, Sariel Har-peled, Dan Roth - 2005
under the guidance of – Seinjuti Chakraborty, Prof M. K. Warmuth
4 A large deviation bound for the area under the ROC curve – Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth - 2005
Using a Semantic Self-Organising Web Page- Ranking Mechanism for Public Administration and Education – Marios Poulos, Sozon Papavlasopoulos, V. S. Belesiotis
4 Ordering patterns by combining opinions from multiple sources – Pang-ning Tan - 2004
19 Stability and generalization of bipartite ranking algorithms – Shivani Agarwal, Partha Niyogi - 2005
12 Learning to rank by maximizing auc with linear programming – Kaan Ataman, W. Nick Street, Yi Zhang - 2006
26 Minimally invasive randomization for collecting unbiased preferences from clickthrough logs – Filip Radlinski, Thorsten Joachims - 2006
3 Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision – David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier
106 Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search – Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay - 2007
173 Query chains: Learning to rank from implicit feedback – Filip Radlinski, Thorsten Joachims - 2005
101 Letor: Benchmark dataset for research on learning to rank for information retrieval – Tie-yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li - 2007