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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 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
ALT
2003
Springer
14 years 1 months ago
Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables
Due to the rapid growth of tree structured data such as Web documents, efficient learning from tree structured data becomes more and more important. In order to represent structura...
Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumot...
ALT
1997
Springer
14 years 1 months ago
Learning One-Variable Pattern Languages Very Efficiently on Average, in Parallel, and by Asking Queries
A pattern is a string of constant and variable symbols. The language generated by a pattern is the set of all strings of constant symbols which can be obtained from by substituti...
Thomas Erlebach, Peter Rossmanith, Hans Stadtherr,...
USENIX
2007
14 years 6 hour ago
A Memory Soft Error Measurement on Production Systems
Memory state can be corrupted by the impact of particles causing single-event upsets (SEUs). Understanding and dealing with these soft (or transient) errors is important for syste...
Xin Li, Kai Shen, Michael C. Huang, Lingkun Chu
CASES
2005
ACM
13 years 11 months ago
An Esterel processor with full preemption support and its worst case reaction time analysis
The concurrent synchronous language Esterel allows proto treat reactive systems in an abstract, concise manner. An Esterel program is typically first translated into other, non-s...
Xin Li, Jan Lukoschus, Marian Boldt, Michael Harde...