Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Abstract We observe that the switching activity at a circuit node, also called the transition density, can be extremely sensitive to the circuit internal delays. As a result, sligh...
Abstract. We present a method to perform model selection based on predictive density in a class of spatio-temporal dynamic generalized linear models for areal data. These models as...
Abstract. In the previous papers (Masreliez and Martin, 1977; Novoviˇcova, 1987; Schick and Mitter, 1994) the problem of recursive estimation of linear dynamic systems parameters ...
We study the spatiotemporal sampling of a diffusion field generated by K point sources, aiming to fully reconstruct the unknown initial field distribution from the sample measur...
Juri Ranieri, Amina Chebira, Yue M. Lu, Martin Vet...