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BMCBI
2006
110views more  BMCBI 2006»
13 years 9 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
SC
2009
ACM
14 years 3 months ago
Enabling high-fidelity neutron transport simulations on petascale architectures
The UNIC code is being developed as part of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport c...
Dinesh K. Kaushik, Micheal Smith, Allan Wollaber, ...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
14 years 16 days ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
USS
2008
13 years 11 months ago
CloudAV: N-Version Antivirus in the Network Cloud
Antivirus software is one of the most widely used tools for detecting and stopping malicious and unwanted files. However, the long term effectiveness of traditional hostbased anti...
Jon Oberheide, Evan Cooke, Farnam Jahanian
MANSCI
2010
95views more  MANSCI 2010»
13 years 7 months ago
Using Scheduled Ordering to Improve the Performance of Distribution Supply Chains
We study a supply chain with one supplier and many retailers that face exogenous endcustomer demands. The supplier and the retailers all try to minimize their own inventory-relate...
Lucy Gongtao Chen, Srinagesh Gavirneni