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CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Minimal Marker Sets to Discriminate Among Seedlines
Raising seeds for biological experiments is prone to error; a careful experimenter will test in the lab to verify that plants are of the intended strain. Choosing a minimal set of...
Thomas C. Hudson, Ann E. Stapleton, Amy M. Curley
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
APPROX
2009
Springer
195views Algorithms» more  APPROX 2009»
14 years 2 months ago
Approximating Node-Connectivity Augmentation Problems
The (undirected) Node Connectivity Augmentation (NCA) problem is: given a graph J = (V, EJ ) and connectivity requirements {r(u, v) : u, v ∈ V }, find a minimum size set I of n...
Zeev Nutov
BMCBI
2010
95views more  BMCBI 2010»
13 years 7 months ago
EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
Background: Accurate prediction of antigenic epitopes is important for immunologic research and medical applications, but it is still an open problem in bioinformatics. The case f...
Shide Liang, Dandan Zheng, Daron M. Standley, Bo Y...
IPMI
2007
Springer
14 years 8 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III