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» Extremal Optimization: Methods derived from Co-Evolution
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BMCBI
2008
153views more  BMCBI 2008»
13 years 10 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
TMI
2010
206views more  TMI 2010»
13 years 4 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 4 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
14 years 2 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...
APLAS
2009
ACM
14 years 4 months ago
A Short Cut to Optimal Sequences
We propose a method for easily developing efficient programs for finding optimal sequences, such as the maximum weighted sequence of a set of feasible ones. We formalize a way to ...
Akimasa Morihata