Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
In this paper, we introduce MaDcAr, a model of engines for dynamic and automatic (re)assembling of component-based software. In MaDcAr, an application description consists of the d...
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
Alexandre M. Tartakovsky, Daniel M. Tartakovsky, T...
During code review tasks, comparing two versions of a hardware design description using existing program differencing tools such as diff is inherently limited because existing p...