Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
In this study we construct an artificial neural network model of players’ relaxation preferences while playing a physical Wii game. Developed technology will assist game designe...
Scrolling is used to navigate large information spaces on small screens, but is often too restrictive or cumbersome to use for particular types of content, such as multi-page, mul...
This paper describes a computational model of similarity developed to support analogical software reuse. Similarity is computed from conceptual descriptions of software artifacts o...