This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Our goal is to automatically learn a perceptually-optimal target cost function for a unit selection speech synthesiser. The approach we take here is to train a classifier on human...
The popularity of instant messaging (IM) system creates a new way for human communication. Along with this trend, IM system is broadly applied in cooperative learning. There isnâ€...
— This paper presents a study of the learning process in a distance collaborative learning environment with a chat system and a Wiki, and development of a new chat system based o...