Graphical Grade Scaling

Metric scaling graphical representation of categorical data

Metric Scaling is a well{known method to represent a nite set with respect to a given Euclidean distance matrix. Several methods to represent rows and columns of a two{way contingency table are available: Correspondence Analysis, Dual Scaling, Canonical Coordinates, etc. We show that metric scaling provides a similar representation by using Hellinger or Rao distances together with Gower's add{a...

GRADE: A graphical programming environment for PVM applications

The PVM system { which is one of the most popular message-passing interface currently { represents a low-level tool that enables to write parallel programs but misses the high-level support which could make this work acceptable easy and eecient. To provide high-level graphical support for PVM based program development , a complex programming environment (GRADE) is being developed. GRADE provide...

Scaling It Up: Stochastic Search Structure Learning in Graphical Models

Gaussian concentration graph models and covariance graph models are two classes of graphical models that are useful for uncovering latent dependence structures among multivariate variables. In the Bayesian literature, graphs are often determined through the use of priors over the space of positive definite matrices with fixed zeros, but these methods present daunting computational burdens in la...

Graphical Abstracts

The GRED Graphical Editor for the GRADE Parallel Program Development Environment

In this paper, we describe a graphical editor GRED as part of the integrated programming environment GRADE that is intended to support designing, debugging and performance tuning of messagepassing programs running on a heterogeneous network of computers. The GRED editor hides the cumbersome details of the underlying lowlevel message-passing system (which is currently the PVM system) by providin...