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ICMLA
2008
15 years 7 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
PR
2011
14 years 9 months ago
A novel multi-view learning developed from single-view patterns
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
Zhe Wang, Songcan Chen, Daqi Gao
AI
2007
Springer
15 years 6 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
FSEN
2007
Springer
15 years 10 months ago
Test Selection Criteria for Quantifier-Free First-Order Specifications
This paper deals with test case selection from axiomatic specifications whose axioms are quantifier-free first-order formulae. Test cases are modeled as ground formulae and any spe...
Marc Aiguier, Agnès Arnould, Pascale Le Gal...
WWW
2009
ACM
16 years 7 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...