In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, each of which is nearly sufficent in determining the correct labels. In this paper we present a new algorithm for probabilistic multi-view learning which uses the idea of stochastic agreement between views as regularizat...

We propose a robust interpolation scheme for non-overlapping two-level domain decomposition methods applied to two-dimensional elliptic problems with discontinuous coefficients. This interpolation is used to design a preconditioner closely related to the BPS scheme proposed in [1]. Through numerical experiments, we show on structured and unstructured finite element problems that the new precond...

Due to the high importance computer-mediated communication and IT systems have in the execution of today’s business processes, enterprises are producing a rapidly growing amount of information as by-product of their business activities (Zadok et al. 2004, p. 2f). Lyman and Varian (2003, p. 4) estimate the annual growth of newly created information to be 30%. According to studies of Merrill Lync...

The management of unstructured data is acknowledged as one of the most critical unsolved problems in data management and business intelligence fields in current times. The major reason for this unresolved problem is primarily because of the actuality that the methods, systems and related tools that have established themselves so successfully converting structured information into business intel...

A method for generating directionally reened unstructured tetrahedral meshes is presented. The motivation is the need to eeciently mesh the complex computational domains which are frequently encountered in aerospace applications. In this context, the method is applicable to the construction of meshes suitable for the simulation of inviscid and viscous aerodynamic ows. Minimum user intervention ...