Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
To find the optimal branching of a nominal attribute at a node in an L-ary decision tree, one is often forced to search over all possible L-ary partitions for the one that yields t...
Don Coppersmith, Se June Hong, Jonathan R. M. Hosk...
Previous algorithms that recover camera motion from image velocities sufferfrom both bias and excessive variance in the results. We propose a robust estimator of camera motion tha...
We consider localized instantaneous sources that reside in a 2D diffusive environment. Our goal is to reconstruct the induced field from the measurements obtained by distributed s...