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NIPS
1997
14 years 11 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
101
Voted
ICML
2004
IEEE
15 years 3 months ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti
CIKM
2008
Springer
15 years 6 days ago
Learning the distance metric in a personal ontology
Personal ontology construction is the task of sorting through relevant materials, identifying the main topics and concepts, and organizing them to suit personal needs. Automatic c...
Hui Yang, Jamie Callan
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
15 years 5 months ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 3 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng