Almost all of the most successful quantum algorithms discovered to date exploit the ability of the Fourier transform to recover subgroup structure of functions, especially periodi...
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
This paper presents a comtmtational model of incremental utterance production in task-oriented dialogues. This model incrementally produces utterantes to propose the solution of a...
Because they are based on large content-addressable memories, load-store queues (LSQ) present implementation challenges in superscalar processors, especially as issue width and nu...
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...