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» Model selection via the AUC
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ICSE
2004
IEEE-ACM
16 years 6 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst
CCS
2008
ACM
15 years 8 months ago
Assessing query privileges via safe and efficient permission composition
We propose an approach for the selective enforcement of access control restrictions in, possibly distributed, large data collections based on two basic concepts: i) flexible autho...
Sabrina De Capitani di Vimercati, Sara Foresti, Su...
135
Voted
NECO
1998
100views more  NECO 1998»
15 years 5 months ago
Memory Maintenance via Neuronal Regulation
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...
David Horn, Nir Levy, Eytan Ruppin
ESANN
2008
15 years 7 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
209
Voted
ICSOC
2010
Springer
15 years 4 months ago
Incorporating Expectations as a Basis for Business Service Selection
Abstract. The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectati...
Adel M. ElMessiry, Xibin Gao, Munindar P. Singh