Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
Abstract. This paper presents novel dissimilarity space specially designed for interactive multimedia retrieval. By providing queries made of positive and negative examples, the go...
Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other’s presence. Unfortunately, existing models leave man...
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative signi...
Edmundas Kazimieras Zavadskas, Algimantas Zakarevi...