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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
COCOON
2009
Springer
14 years 2 months ago
Computing Bond Types in Molecule Graphs
In this paper, we deal with restoring missing information in molecule databases: Some data formats only store the atoms’ configuration but omit bond multiplicities. As this info...
Sebastian Böcker, Quang Bao Anh Bui, Patrick ...
CCS
2006
ACM
13 years 11 months ago
Secure information flow with random assignment and encryption
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
Geoffrey Smith
WSC
2007
13 years 9 months ago
An exploration-based taxonomy for emergent behavior analysis in simulations
Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. We present a taxonomy, to be applied to emergent beha...
Ross Gore, Paul F. Reynolds Jr.