“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Background: Complex biological database systems have become key computational tools used daily by scientists and researchers. Many of these systems must be capable of executing on...
Marko Srdanovic, Ulf Schenk, Michael Schwieger, Fa...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Abstract: Interdisciplinary research projects with environmental focus need an information technology which is capable of describing the flow of minerals and other substances with ...