In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
This paper presents a Greedy-Least Saturation Degree (G-LSD) heuristic (which is an adaptation of the least saturation degree heuristic) to solve a real-world examination timetabli...
Masri Ayob, Ariff Md. Ab. Malik, Salwani Abdullah,...
Abstract. Schema mappings play a central role in both data integration and data exchange, and are understood as high-level specifications describing the relationships between data...
Just like humans, conversational computer systems should not listen silently to their input and then respond. Instead, they should enforce the speaker-listener link by attending ac...