This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
Background: There are a number of methods (also called: measures) currently in use that quantify codon usage in genes. These measures are often influenced by other sequence proper...
Application monitoring in the grid for parallel applications is hardly supported in recent grid infrastructures. There is a need to visualize the behavior of the program during its...
We present data-dependent error bounds for transductive learning based on transductive Rademacher complexity. For specific algorithms we provide bounds on their Rademacher complex...
In the “query-by-humming” problem, we attempt to retrieve a specific song from a target set based on a sung query. Recent evaluations of query-by-humming systems show that th...