In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
Reasoning about events or temporal aspects is fundamental for modeling geographic phenomena. This work concerns the analysis of events as configurations of temporal intervals. It...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...