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BMCBI
2008
123views more  BMCBI 2008»
13 years 6 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 13 days ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
BMCBI
2005
126views more  BMCBI 2005»
13 years 6 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
ICTAI
2003
IEEE
13 years 11 months ago
Feature Selection for Support Vector Machines by Means of Genetic Algorithms
Holger Fröhlich, Olivier Chapelle, Bernhard S...
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 6 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...