Call Center Stress Recognition with Person-Specific Models

5 High Energy Physics Division, Argonne National Laboratory, Argonne IL, United States of America. 6 Department of Physics, University of Arizona, Tucson AZ, United States

Panel a: Evolution of the mixing measure Md as a function of t/δ2 for 30 MD realizations thin lines superimposed to the continuum prediction Mc D = 1.1 red, thick line, where D = 1.1

A 2 (sensitivity: taxonomic, thematic) x 2 (domain: living things, non-living things) analysis of variance (ANOVA) was conducted on the number of correct

While in the case of Hume’s view, such a claim is of course controversial, since he was interested in aesthetic judgements about works of art where prima facie anybody feels that

We compare four different approaches to compute the Chern classes of a tensor product of two vector bundles in terms of the Chern classes of the factors.. Introduction, some

As a conclusion, we reveal that the network is robust towards low frequency perturbations, shows adaptation at moderate stress frequencies, but transitions to

In this paper, it applys Gaussian loss function instead of ε -insensitive loss function in a standard SVRM to devise a new model and a new type of support vector

We consider in ultrahyperbolic Clifford analysis, [1], [5], [6], the rep- resentation of a k-vector function F : Ω → Cl k p,q , with 0 < k < n, in terms of functions