In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at diļ¬erent levels of detail with On-Line Analyt...
We describe a data mining framework that derives panelist information from sparse ļ¬avour survey data. One component of the framework executes genetic programming ensemble based s...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deļ...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...