This paper overviews a set of Performance Evaluation
ToolS (PETS) for zone segmentation and classification. The
tools allow researchers and developers to evaluate, optimize
and ...
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...
: The k-nearest neighbour (KNN) technique is a simple yet effective method for classification. In this paper, we propose an efficient weighted nearest neighbour classification algo...
William Perrizo, Qin Ding, Maleq Khan, Anne Denton...
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
Basic language-inherent tempo cannot be isolated by the current metrics of speech rhythm. Here we propose the number of syllables per intonation unit as an appropriate measure, al...