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» Preference-based learning to rank
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107
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ECIR
2009
Springer
15 years 9 months ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani
89
Voted
AAAI
2006
15 years 2 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
AMR
2006
Springer
96views Multimedia» more  AMR 2006»
15 years 4 months ago
Learning to Retrieve Images from Text Queries with a Discriminative Model
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval pe...
David Grangier, Florent Monay, Samy Bengio
217
Voted
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
16 years 1 months ago
Explaining and Reformulating Authority Flow Queries
Authority flow is an effective ranking mechanism for answering queries on a broad class of data. Systems have been developed to apply this principle on the Web (PageRank and topic ...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...
NIPS
2004
15 years 1 months ago
A Large Deviation Bound for the Area Under the ROC Curve
The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan...