Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...
Abstract. We develop a statistical mechanical interpretation of algorithmic information theory by introducing the notion of thermodynamic quantities, such as free energy, energy, s...
For human operators supervising a complex system it is crucial to have a powerful and flexible information presentation system. In order to reduce the cognitive load operators oft...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Information visualisation often requires good navigation aids on large trees, which represent the underlying information. Using trees for information visualisation requires novel ...