17 citations found. Retrieving documents...
R. Herbrich, T. Graepel, and K. Obermayer, Large margin rank boundaries for ordinal regression, Advances in Large Margin Classifiers (2000), 115--132.

 Home/Search   Document Not in Database   Context   Related Articles   Check  

This paper is cited by the following papers:

Ranking with Large Margin Principle: Two Approaches - Shashua, Levin (2003)   (4 citations)  (Correct)
Pranking with Ranking - Crammer, Singer (2001)   (10 citations)  (Correct)
Taxonomy of Large Margin Principle Algorithms for Ordinal.. - Shashua, Levin (2002)   (Correct)
Adapting Codes and Embeddings for Polychotomies - Rätsch, Smola, Mika (2003)   (Correct)
Optimizing Search Engines using Clickthrough Data - Joachims (2002)   (47 citations)  (Correct)
Latent Semantic Kernels - Cristianini (2001)   (10 citations)  (Correct)
Learning Rankings via Convex Hull Separation - Glenn Fung Omer (2006)   (1 citation)  (Correct)
Trait Selection for Assessing Beef Meat Quality.. - Coz, Bayon, Diez.. (2004)   (Correct)
Gaussian Processes for Ordinal Regression - Chu, Ghahramani (2005)   (1 citation)  (Correct)
Query Chains: Learning to Rank from Implicit Feedback - Radlinski, Joachims (2005)   (1 citation)  (Correct)
Evaluating the Robustness of Learing from Implicit Feedback - Radlinski, Joachims   (Correct)
Discovering Relevancies in Very Difficult.. - Diez, Bayon.. (2004)   (Correct)
Ranking with Large Margin Principle: Two Approaches - Shashua, Levin (2003)   (4 citations)  (Correct)
Adapting Codes and Embeddings for Polychotomies - Rätsch, Smola, Mika   (Correct)
Ranking with Large Margin Principle: Two Approaches - Shashua, Levin (2002)   (4 citations)  (Correct)
Discovering Relevancies in Very Difficult.. - Diez, Bayón.. (2004)   (Correct)
Learning to Align Sequences: A Maximum-Margin Approach - Joachims (2003)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC