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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
JSW
2008
73views more  JSW 2008»
13 years 9 months ago
Teaching Virtual Experts for Multi-Domain Collaborative Planning
Abstract-- This paper presents an approach to rapid development of virtual planning experts that can collaborate to develop plans of action requiring expertise from multiple domain...
Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Marcel ...
GPEM
2000
121views more  GPEM 2000»
13 years 9 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
MICCAI
2010
Springer
13 years 8 months ago
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization
Abstract. Heart isolation (separating the heart from the proximity tissues, e.g., lung, liver, and rib cage) is a prerequisite to clearly visualize the coronary arteries in 3D. Suc...
Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin...
BMCBI
2005
126views more  BMCBI 2005»
13 years 9 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