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» Metric Learning to Rank
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KDD
2012
ACM
177views Data Mining» more  KDD 2012»
12 years 11 days 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»
13 years 10 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...
COLING
2008
13 years 10 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
SIGIR
2011
ACM
13 years 23 days 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...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 10 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...