%0 Journal Article
%T Application Of t-Cherry Junction Trees in Pattern Recognition
%A Tamas Szantai
%A Edith Kovacs
%J Brain. Broad Research in Artificial Intelligence and Neuroscience
%D 2010
%I EduSoft publishing
%X Pattern recognition aims to classify data (patterns) based ei- ther on a priori knowledge or on statistical information extracted from the data. In this paper we will concentrate on statistical pattern recognition using a new probabilistic approach which makes possible to select the so called 'informative' features. We develop a pattern recognition algorithm which is based on the conditional independence structure underlying the statistical data. Our method was succesfully applied on a real problem of recognizing Parkinson's disease on the basis of voice disorders.
%K pattern recognition
%K probabilistic modeling
%K h-uniform hyper- tree
%K t-cherry junction tree
%U http://brain.edusoft.ro/index.php/brain/article/view/103