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» Mutation Rates in the Context of Hybrid Genetic Algorithms
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GPEM
2002
95views more  GPEM 2002»
13 years 7 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
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
PVLDB
2011
12 years 10 months ago
Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores
Adaptive indexing is characterized by the partial creation and refinement of the index as side effects of query execution. Dynamic or shifting workloads may benefit from prelimi...
Stratos Idreos, Stefan Manegold, Harumi A. Kuno, G...
SIGMOD
2002
ACM
91views Database» more  SIGMOD 2002»
14 years 7 months ago
A scalable hash ripple join algorithm
Recently, Haas and Hellerstein proposed the hash ripple join algorithm in the context of online aggregation. Although the algorithm rapidly gives a good estimate for many join-agg...
Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey ...
BMCBI
2011
13 years 2 months ago
An Agent-Based Model to study the epidemiological and evolutionary dynamics of Influenza viruses
Background: Influenza A viruses exhibit complex epidemiological patterns in a number of mammalian and avian hosts. Understanding transmission of these viruses necessitates taking ...
Benjamin Roche, John M. Drake, Pejman Rohani