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» Metric Learning to Rank
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120
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KDD
2012
ACM
177views Data Mining» more  KDD 2012»
13 years 5 months ago
Random forests for metric learning with implicit pairwise position dependence
Caiming Xiong, David Johnson, Ran Xu, Jason J. Cor...
ML
2008
ACM
134views Machine Learning» more  ML 2008»
15 years 3 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
136
Voted
COLING
2008
15 years 3 months ago
Modeling Local Coherence: An Entity-Based Approach
This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and ...
Regina Barzilay, Mirella Lapata
124
Voted
SIGIR
2011
ACM
14 years 6 months ago
Parallel learning to rank for information retrieval
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
147
Voted
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 3 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...