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HIS
2007
13 years 11 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 11 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
BMCBI
2006
103views more  BMCBI 2006»
13 years 9 months ago
Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequili
Background: The discovery of cis-regulatory motifs still remains a challenging task even though the number of sequenced genomes is constantly growing. Computational analyses using...
Kenneth W. Berendzen, Kurt Stüber, Klaus Hart...
BMCBI
2006
130views more  BMCBI 2006»
13 years 9 months ago
Docking protein domains in contact space
Background: Many biological processes involve the physical interaction between protein domains. Understanding these functional associations requires knowledge of the molecular str...
Stefano Lise, Alice Walker-Taylor, David T. Jones
BMCBI
2006
130views more  BMCBI 2006»
13 years 9 months ago
An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution ma
Background: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic ...
Blazej Bulka, Marie desJardins, Stephen J. Freelan...