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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 9 months ago
Taming Modal Impredicativity: Superlazy Reduction
Pure, or type-free, Linear Logic proof nets are Turing complete once cut-elimination is5 considered as computation. We introduce modal impredicativity as a new form of impredicati...
Ugo Dal Lago, Luca Roversi, Luca Vercelli
FGCS
2008
135views more  FGCS 2008»
13 years 9 months ago
An on-line replication strategy to increase availability in Data Grids
Data is typically replicated in a Data Grid to improve the job response time and data availability. Strategies for data replication in a Data Grid have previously been proposed, b...
Ming Lei, Susan V. Vrbsky, Xiaoyan Hong
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 9 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ML
2008
ACM
13 years 9 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ML
2008
ACM
134views Machine Learning» more  ML 2008»
13 years 9 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...