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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 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
CIKM
2008
Springer
13 years 9 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
ICSE
2010
IEEE-ACM
13 years 9 months ago
Quality of service profiling
Many computations exhibit a trade off between execution time and quality of service. A video encoder, for example, can often encode frames more quickly if it is given the freedom ...
Sasa Misailovic, Stelios Sidiroglou, Henry Hoffman...
CASES
2007
ACM
13 years 9 months ago
Facilitating compiler optimizations through the dynamic mapping of alternate register structures
Aggressive compiler optimizations such as software pipelining and loop invariant code motion can significantly improve application performance, but these transformations often re...
Chris Zimmer, Stephen Roderick Hines, Prasad Kulka...
USENIX
2003
13 years 8 months ago
The Design of the {OpenBSD} Cryptographic Framework
Cryptographic transformations are a fundamental building block in many security applications and protocols. To improve performance, several vendors market hardware accelerator car...
Angelos D. Keromytis, Jason L. Wright, Theo de Raa...