Given an example-feature set, representing the information context present in a dataset, is it possible to reconstruct the information context in the form of clusters to a certain degree of compromise, if the examples are processed randomly without repetition in a sequential online manner? A general transductive inductive learning strategy which uses constraint based multivariate Chebyshev ineq...

We employ the dynamical cluster approximation ~DCA! in conjunction with the fluctuation exchange approximation ~FLEX! to study the Hubbard model. The DCA is a technique to systematically restore the momentum conservation at the internal vertices of Feynman diagrams relinquished in the dynamical mean field approximation. The FLEX is a perturbative diagrammatic approach in which classes of Feynma...