Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
—Distributed transmit beamforming has recently been proposed as a technique in which several single-antenna sources cooperate to form a virtual antenna array and simultaneously t...
The Location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem i...
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...