In this paper we present an artificial vision system that is trained with a genetic algorithm for categorising five different kinds of images (letters) of different sizes. The system, which has a limited field of view, can move its eye so as to visually explore the images. The analysis of the system at the end of the training process indicates that correct categorisation is achieved by (1) expl...

The effect of the first office blood pressure reading (FBPR) on hypertension-related decisions was evaluated using blood pressure (BP) readings taken with the BpTRU BPM-100 device. BP readings were grouped into three pairs: (1) single readings (first and second readings), (2) computed average of three readings (one including and one excluding the first reading), and (3) computed average of five...

Information about the category (type) of a WWW page can be helpful for the user within search, filtering, as well as navigation tasks. We propose a multidimensional categorisation scheme, with bibliographic dimension as the primary one. We examine the possibilities and limits of performing such categorisation based on information extracted from URL, which is particularly useful for certain on-l...

Today’s state-of-the-art spoken language dialogue systems (SLDSs) are mainly system-directed leaving very little initiative to the user. This paper discusses how to enable controlled steps in the direction of mixedinitiative SLDSs. The discussion is based on experience from the design, implementation and test of system-directed dialogue for a spoken language dialogue system and on first Wizard ...

The automatic processing of text is a major challenge because of the increasing availability of textual information and the need to organise and manage such information effectively and efficiently. Automatic Text Categorisation is one of a number of functions we would like to have available to us and involves the assignment of one or more predefined categories to text documents in order that th...

Supervised text categorisation is a significant tool considering the vast amount of structured, unstru ctured, or semi-structured texts that are available from internal or external enterprise resources. The goal of supervised text categorisation is to assign text documents to finite pre -specified categories in order to extract and automatically organise information coming from th ese resources...

EulerView is a novel resource management tool, enabling the representation of non-hierarchical categorisation structures within which to place resources. Since the initial incarnation for use in file-system management, it has been integrated with other systems, such as Flickr to produce Eulr, which assists in user manipulation of photo tags. Another system currently under development is Eulicio...

We evaluate three approaches to tasks involving categorisation with probabilistic cues (the Bayesian approach, the associationist approach, and the hypothesis testing approach) by comparing the behaviour of three classes of cognitive model with that of human participants on a simulated medical diagnosis task. The task yields dependent measures relating to both categorisation accuracy and cue se...

Emotional scenes were presented peripherally (5.2° away from fixation) or foveally (at fixation) for 150 ms. In affective evaluation tasks viewers judged whether a scene was unpleasant or not, or whether it was pleasant or not. In semantic categorisation tasks viewers judged whether a scene involved animals or humans (superordinate-level task), or whether it portrayed females or males (subordin...

Associative Classification has been successfully employed in many diverse classification problem domains, showing high classification accuracy and adequate computation time relative to the other traditionally used solutions. Despite this, very little research has been conducted with it in the problem area of Text Categorisation and only a small number of approaches presently exist that are base...