A random matrix model with non-pairwise contracted indices

On inconsistency of a pairwise comparison matrix

on inconsistency of a pairwise comparison matrix

Fisher Non-negative Matrix Factorization with Pairwise Weighting

Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervised learning algorithm. That is to say, the classical NMF algorithm does not respect the class-specific information. This paper presents an improvement of the classical NMF approach by imposing Fisher constraints. This ...

Finite Groups With a Certain Number of Elements Pairwise Generating a Non-Nilpotent Subgroup

Random Matrix Theory with Non - integer β

We show that the random matrix theory with non-integer " symmetry parameter " β describes the statistics of transport parameters of strongly disordered two dimensional systems. The application of the random matrix theory (RMT) [1] to electronic transport in weakly disordered systems [2] enables us to understand the main features of the transport. The small number of parameters which enters RMT ...