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» Simulation Optimization: Methods and Applications
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148
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 4 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
166
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DATAMINE
1999
143views more  DATAMINE 1999»
15 years 3 months ago
Partitioning Nominal Attributes in Decision Trees
To find the optimal branching of a nominal attribute at a node in an L-ary decision tree, one is often forced to search over all possible L-ary partitions for the one that yields t...
Don Coppersmith, Se June Hong, Jonathan R. M. Hosk...
161
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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 4 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
129
Voted
ICDCS
2009
IEEE
15 years 10 months ago
Explicit Batching for Distributed Objects
Although distributed object systems, for example RMI and CORBA, enable object-oriented programs to be easily distributed across a network, achieving acceptable performance usually...
Eli Tilevich, William R. Cook, Yang Jiao
115
Voted
SC
2009
ACM
15 years 10 months ago
Automating the generation of composed linear algebra kernels
Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), an...
Geoffrey Belter, Elizabeth R. Jessup, Ian Karlin, ...