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» Empirical Design of Geometric Algorithms
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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 3 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
JMLR
2008
83views more  JMLR 2008»
14 years 12 months ago
Evidence Contrary to the Statistical View of Boosting
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
David Mease, Abraham Wyner
DAC
2003
ACM
16 years 25 days ago
Multilevel floorplanning/placement for large-scale modules using B*-trees
We present in this paper a multilevel floorplanning/placement framework based on the B*-tree representation, called MB*-tree, to handle the floorplanning and packing for large-sca...
Hsun-Cheng Lee, Yao-Wen Chang, Jer-Ming Hsu, Hanna...
PVLDB
2008
110views more  PVLDB 2008»
14 years 11 months ago
Online maintenance of very large random samples on flash storage
Recent advances in flash media have made it an attractive alternative for data storage in a wide spectrum of computing devices, such as embedded sensors, mobile phones, PDA's...
Suman Nath, Phillip B. Gibbons
EMO
2001
Springer
150views Optimization» more  EMO 2001»
15 years 4 months ago
On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
Marco Laumanns, Eckart Zitzler, Lothar Thiele