By Lars Nolle (auth.), Richard Ellis BSc, MSc, Tony Allen BA, MSc, PhD, Miltos Petridis DipEng, MBA, PhD, MBCS, AMBA (eds.)
The papers during this quantity are the refereed program papers provided at AI-2007, the Twenty-seventh SGAI foreign convention on cutting edge innovations and purposes of man-made Intelligence, held in Cambridge in December 2007.
They current new and cutting edge purposes of man-made intelligence throughout quite a lot of domain names, divided into sections on scientific structures; HCI and ordinary Language platforms: Imaging and Sensing platforms; choice aid platforms; independent Machines; and commercial platforms, via the textual content of brief papers offered as posters on the conference.
This is the 15th quantity within the purposes and techniques sequence, which deals an annual photograph of the most recent purposes of synthetic intelligence throughout undefined, trade, schooling and government.
The Technical circulation papers are released as a better half quantity below the identify learn and improvement in clever platforms XXIV.
Read or Download Applications and Innovations in Intelligent Systems XV: Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence PDF
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Additional info for Applications and Innovations in Intelligent Systems XV: Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
The three main factors are supposed to describe the changes of the physical conditions of the patients. The changes are assessed depending on the number of improved factors: - Weak version of the model: at least one factor has improved - Medium version of the model: at least two factors have improved - Strong version of the model: all three factors have improved The final step means to define the type of model. Popular statistical programs offer a large variety of statistical models. Some of them deal with categorical data.
The costs become prohibitive if an expert is engaged to manually craft cases or hand tag documents for learning. Thus there is a need for tools that automatically create knowledge-rich case representations from textual sources without the need to access large volumes of tagged data. Hierarchically structured case representations allow for comparison at different levels of speciﬁcity thus resulting in more effective retrieval than can be achieved with a ﬂat structure. In this paper, we present a novel method for automatically creating, hierarchically structured, knowledge-rich cases from textual reports in the SmartHouse domain.
Figure 2(a) is a stemmed version of the text describing the wandering sub-problem in Figure 1. Figure 2(b) illustrates the extracted terms that are used to represent the sub-problem. 2 Topic Identiﬁcation SmartHouse reports can be expressed in terms of topics which are essentially, people’s disabilities. Terms in the report collection can also be regarded as belonging to certain topics. Terms that are important to a given topic will have strong associations with each other. For example, in a topic regarding mobility problems, terms like wheelchair, crutches, and mobility will be highly related.