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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
BMCBI
2006
134views more  BMCBI 2006»
14 years 9 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
ICALP
2011
Springer
14 years 1 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
POPL
2009
ACM
15 years 10 months ago
Verifying distributed systems: the operational approach
This work develops an integrated approach to the verification of behaviourally rich programs, founded directly on operational semantics. The power of the approach is demonstrated ...
Tom Ridge
APSEC
2004
IEEE
15 years 1 months ago
JAOUT: Automated Generation of Aspect-Oriented Unit Test
Unit testing is a methodology for testing small parts of an application independently of whatever application uses them. It is time consuming and tedious to write unit tests, and ...
Guoqing Xu, Zongyuan Yang, Haitao Huang, Qian Chen...