Several important classes of aggregation functions defined on a bounded lattice form with respect to the pointwise operations join and meet, respectively. The structure such is usually very complex; thus, it useful characterize them by some appropriate sets functions. In this paper, we focus three functions, namely all idempotent Sugeno integrals (defined distributive lattices) their lattices m...

Studies on colloidal aggregation have brought forth theories on stability of colloidal gels and models for aggregation dynamics. Still, a complete link between developed frameworks and obtained laboratory observations has to be found. In this work, aggregates of silica nanoparticles (20 nm) are studied using diffusion limited cluster aggregation (DLCA) and reaction limited cluster aggregation (...

This paper summarizes two useful techniques for aggregating theoretical models of evolutionary algorithms (EAs). Aggregation removes unnecessary detail from the models, producing simpler models with good predictive accuracy. The first aggregation technique is applicable to “equation of motion” models of EAs that have selection and mutation, for a particular class of interesting fitness function...

Given a finite family of functions, the goal of model selection aggregation is to construct a procedure that mimics the function from this family that is the closest to an unknown regression function. More precisely, we consider a general regression model with fixed design and measure the distance between functions by the mean squared error at the design points. While procedures based on expone...

In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching algorithm by aggregating the similarities of the RGB channels which are calculated independently. We compare the accuracy of different stereo matching algorithms and aggregation...