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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 1 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
FINTAL
2006
13 years 11 months ago
Improving Phrase-Based Statistical Translation Through Combination of Word Alignments
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Boxing Chen, Marcello Federico
ICPR
2008
IEEE
14 years 8 months ago
Bregman distance to L1 regularized logistic regression
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
Mithun Das Gupta, Thomas S. Huang
EPEW
2006
Springer
13 years 9 months ago
The Impact of Buffer Finiteness on the Loss Rate in a Priority Queueing System
This paper discusses five different ways to approximate the loss rate in a fundamental two class priority system, where each class has its own finite capacity buffer, as well as an...
Jeroen Van Velthoven, Benny Van Houdt, Chris Blond...
EVOW
2008
Springer
13 years 9 months ago
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...