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AAAI
2010
13 years 8 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 9 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
ICFP
2010
ACM
13 years 8 months ago
Instance chains: type class programming without overlapping instances
Type classes have found a wide variety of uses in Haskell programs, from simple overloading of operators (such as equality or ordering) to complex invariants used to implement typ...
J. Garrett Morris, Mark P. Jones
WINE
2005
Springer
122views Economy» more  WINE 2005»
14 years 13 days ago
Walrasian Equilibrium: Hardness, Approximations and Tractable Instances
We study the complexity issues for Walrasian equilibrium in a special case of combinatorial auction, called single-minded auction, in which every participant is interested in only ...
Ning Chen, Atri Rudra
NAACL
2010
13 years 4 months ago
Improved Extraction Assessment through Better Language Models
A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
Arun Ahuja, Doug Downey