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GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 9 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
ICANN
2009
Springer
15 years 10 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
CORR
2002
Springer
78views Education» more  CORR 2002»
15 years 3 months ago
Linear-Time Algorithms for Computing Maximum-Density Sequence Segments with Bioinformatics Applications
an abstract optimization problem arising from biomolecular sequence analysis. For a sequence A of pairs (ai, wi) for i = 1, . . . , n and wi > 0, a segment A(i, j) is a consecu...
Michael H. Goldwasser, Ming-Yang Kao, Hsueh-I Lu
IPPS
2006
IEEE
15 years 10 months ago
Parallel multiple sequence alignment with local phylogeny search by simulated annealing
The problem of multiple sequence alignment is one of the most important problems in computational biology. In this paper we present a new method that simultaneously performs multi...
Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, C...
DCC
2007
IEEE
16 years 3 months ago
A sequence approach to linear perfect hash families
A linear (qd, q, t)-perfect hash family of size s in a vector space V of order qd over a field F of order q consists of a set S = {1, . . . , s} of linear functionals from V to F ...
Susan G. Barwick, Wen-Ai Jackson