This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
We investigate the conception that the sample variance of the control variate (CV) should be used for estimating the optimal linear CV weight, even when the CV variance is known. ...
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
We present and evaluate various content-based recommendation models that make use of user and item profiles defined in terms of weighted lists of social tags. The studied approach...
This paper presents a new method for dealing with fuzzy group decision-making problems based on interval linguistic labels. We propose the interval linguistic labels ordered weight...