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EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 27 days ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
INFOCOM
2002
IEEE
14 years 9 days ago
BSFQ: Bin Sort Fair Queueing
—Existing packet schedulers that provide fair sharing of an output link can be divided into two classes: sorted priority and frame-based. Sorted priority methods provide excellen...
Shun Yan Cheung, Corneliu S. Pencea
NIPS
2004
13 years 8 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
AMC
2008
94views more  AMC 2008»
13 years 7 months ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
13 years 5 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang