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PRICAI
2010
Springer
14 years 11 months ago
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
Shuo Xiang, Songcan Chen, Lishan Qiao
COLING
2008
15 years 3 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
ESANN
2004
15 years 3 months ago
Comparison of different classification methods on castabilty data coming from steelmaking practice
Abstract. The problem of the prediction of a critical situation during continuous casting in common steelmaking practice is faced through different traditional soft
Marco Vannucci, Valentina Colla
CN
2004
124views more  CN 2004»
15 years 1 months ago
DDoS attacks and defense mechanisms: classification and state-of-the-art
Denial of Service (DoS) attacks constitute one of the major threats and among the hardest security problems in today
Christos Douligeris, Aikaterini Mitrokotsa
TCBB
2011
14 years 8 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang