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» Log-Linear Models for Label Ranking
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VLDB
2004
ACM
138views Database» more  VLDB 2004»
14 years 1 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...
CIKM
2009
Springer
14 years 1 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 11 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
IJCNN
2007
IEEE
14 years 2 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
TACAS
2005
Springer
78views Algorithms» more  TACAS 2005»
14 years 2 months ago
Separating Fairness and Well-Foundedness for the Analysis of Fair Discrete Systems
Fair discrete systems (FDSs) are a computational model of concurrent programs where fairness assumptions are specified in terms of sets of states. The analysis of fair discrete sy...
Amir Pnueli, Andreas Podelski, Andrey Rybalchenko