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» Label Ranking Methods based on the Plackett-Luce Model
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NAACL
2010
14 years 9 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
CIKM
2010
Springer
14 years 9 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 3 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
VLDB
2004
ACM
138views Database» more  VLDB 2004»
15 years 5 months ago
ObjectRank: Authority-Based Keyword Search in Databases
The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containin...
Andrey Balmin, Vagelis Hristidis, Yannis Papakonst...
IPMI
2011
Springer
14 years 3 months ago
Optimal Weights for Multi-atlas Label Fusion
Multi-atlas based segmentation has been applied widely in medical image analysis. For label fusion, previous studies show that image similarity-based local weighting techniques pro...
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt...