In this paper, fuzzy decision fusion techniques are applied to predict loss-given-default of
corporate bonds. In our model, we add the principal components derived from more than …

Machine learning models require numerous training examples to provide reliable
predictions of real estate prices. Expert algorithms could be applied wherever only several …

One of the crucial problems of the classifier ensemble is the so-called combination rule
which is responsible for establishing a single decision from the pool of predictors. The final …

Three expert algorithms based on the sales comparison approach worked out for an
automated system to aid in real estate appraisal are presented in the paper. Ensemble …

Property valuation is a complex and time-consuming process which is carried out by
qualified real estate appraisers. Number of properties and number of purchase-sale …

In this paper an efficient method for signal change detection in multidimensional data
streams is proposed. A novel tensor model is suggested for input signal representation and …

ABSTRACT A key challenge in decision fusion systems is to determine the best performing
combination of local decision makers. This selection process can be performed statically at …

In this work, we addressed the issue of combining linear classifiers using their score
functions. The value of the scoring function depends on the distance from the decision …

A method for enhancing property valuation models consists in determining zones of an
urban municipality in which the prices of residential premises change similarly over time …