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» Supervised rank aggregation
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ACL
2011
14 years 5 months ago
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
171
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 4 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
AAAI
2006
15 years 3 months ago
Quantifying Incentive Compatibility of Ranking Systems
Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent ...
Alon Altman, Moshe Tennenholtz
JAIR
2008
130views more  JAIR 2008»
15 years 1 months ago
Axiomatic Foundations for Ranking Systems
Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent ...
Alon Altman, Moshe Tennenholtz
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 7 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli