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TEC
2008
115views more  TEC 2008»
15 years 8 days ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
BMCBI
2011
14 years 4 months ago
Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs
Background: One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function. Results:...
Leslie Regad, Juliette Martin, Anne-Claude Camprou...
115
Voted
BMCBI
2006
174views more  BMCBI 2006»
15 years 13 days ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
107
Voted
BMCBI
2007
131views more  BMCBI 2007»
15 years 11 days ago
An improved method for identifying functionally linked proteins using phylogenetic profiles
Background: Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein c...
Shawn Cokus, Sayaka Mizutani, Matteo Pellegrini
CEC
2010
IEEE
15 years 1 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne