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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 4 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
142
Voted
COLING
2010
14 years 10 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
153
Voted
ACL
2012
13 years 6 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
111
Voted
CEC
2007
IEEE
15 years 10 months ago
Constrained genetic algorithm based independent component analysis
Independent Component Analysis, a computationally efficient statistical signal processing technique, has been an area of interest for researchers for many practical applications in...
D. P. Acharya, Ganapati Panda, Y. V. S. Lakshmi
132
Voted
ACL
2011
14 years 7 months ago
Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation
We describe an exact decoding algorithm for syntax-based statistical translation. The approach uses Lagrangian relaxation to decompose the decoding problem into tractable subprobl...
Alexander M. Rush, Michael Collins