9 years 5 months ago
Convergent finite element discretization of the multi-fluid nonstationary incompressible magnetohydrodynamics equations
Abstract. We propose a convergent implicit stabilized finite element discretization of the nonstationary incompressible magnetohydrodynamics equations with variable density, viscos...
Lubomír Bañas, Andreas Prohl
9 years 5 months ago
H(div) preconditioning for a mixed finite element formulation of the diffusion problem with random data
We study H(div) preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key i...
Howard C. Elman, Darran G. Furnival, Catherine E. ...
119views more  JMLR 2010»
9 years 5 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
157views more  TKDE 2002»
9 years 10 months ago
A Modified Chi2 Algorithm for Discretization
Francis Eng Hock Tay, Lixiang Shen
147views more  DATAMINE 2002»
9 years 10 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
127views more  CGF 2007»
9 years 10 months ago
A Finite Element Method on Convex Polyhedra
We present a method for animating deformable objects using a novel finite element discretization on convex polyhedra. Our finite element approach draws upon recently introduced ...
Martin Wicke, Mario Botsch, Markus H. Gross
97views more  COR 2006»
9 years 10 months ago
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
10 years 5 hour ago
Nonuniform Dynamic Discretization in Hybrid Networks
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
Alexander V. Kozlov, Daphne Koller
10 years 12 hour ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
10 years 1 days ago
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
Lukasz A. Kurgan, Krzysztof J. Cios