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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 1 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
113
Voted
ICML
2006
IEEE
16 years 4 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
166
Voted
CCS
2011
ACM
14 years 3 months ago
Trace equivalence decision: negative tests and non-determinism
We consider security properties of cryptographic protocols that can be modeled using the notion of trace equivalence. The notion of equivalence is crucial when specifying privacy-...
Vincent Cheval, Hubert Comon-Lundh, Stéphan...
CCE
2008
15 years 4 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
DKE
2010
112views more  DKE 2010»
15 years 4 months ago
An integer programming based approach for verification and diagnosis of workflows
Workflow analysis is indispensable to capture modeling errors in workflow designs. While several workflow analysis approaches have been defined previously, these approaches do not...
Rik Eshuis, Akhil Kumar