In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Abstract. The simulation of large-scale inter-domain networks is useful for various aspects of network planning and management. It is also a challenge due to its scalability proble...
In this paper we discuss different views of learning and what it means to follow rules. The activities, the language and context of expertise and knowledge have traditionally ofte...