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GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 2 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 4 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
IPPS
2007
IEEE
15 years 5 months ago
Reconfigurable Architecture for Biological Sequence Comparison in Reduced Memory Space
DNA sequence alignment is a very important problem in bioinformatics. The algorithm proposed by Smith-Waterman (SW) is an exact method that obtains optimal local alignments in qua...
Azzedine Boukerche, Jan Mendonca Correa, Alba Cris...
CVIU
2008
109views more  CVIU 2008»
14 years 11 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
15 years 11 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett