Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
This paper describes a research project, which seeks to showcase the experience base of practitioners with technology-enhanced teaching and learning. A particular focus of this in...
The field of information visualization offers little methodological guidance to practitioners who seek to design novel systems. Though many sources describe the foundations of the...
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Stories help us structure our perception of a complex reality. Stories told in a workplace context also help to preserve knowledge of the organization, which is especially importa...