— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
In this paper we propose a dynamic code overlay technique of synchronous data-flow (SDF) –modeled program for low-end embedded systems which lack MMUsupport. With this technique...
Hae-woo Park, Kyoungjoo Oh, Soyoung Park, Myoung-m...