Download Applications and Innovations in Intelligent Systems XV: by Lars Nolle (auth.), Richard Ellis BSc, MSc, Tony Allen BA, PDF

By Lars Nolle (auth.), Richard Ellis BSc, MSc, Tony Allen BA, MSc, PhD, Miltos Petridis DipEng, MBA, PhD, MBCS, AMBA (eds.)

ISBN-10: 1848000855

ISBN-13: 9781848000858

The papers during this quantity are the refereed program papers awarded at AI-2007, the Twenty-seventh SGAI overseas convention on leading edge strategies and functions of synthetic Intelligence, held in Cambridge in December 2007.

They current new and cutting edge purposes of synthetic intelligence throughout quite a lot of domain names, divided into sections on scientific platforms; HCI and typical Language structures: Imaging and Sensing structures; selection aid structures; independent Machines; and commercial platforms, via the textual content of brief papers provided as posters on the conference.

This is the 15th quantity within the purposes and suggestions sequence, which deals an annual picture of the most recent functions of man-made intelligence throughout undefined, trade, schooling and government.

The Technical circulate papers are released as a spouse quantity below the name examine and improvement in clever structures XXIV.

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Extra resources 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

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It is these groupings of terms as topics that, with the help of background knowledge, we exploit in order to identify key phrases. 3 Key Phrase Identification The text describing people’s problems must in some way be related to the disability or the ailment causing the difficulties. Knowing this enables us to target our search for key phrases to terms that have a strong association with the disability terms and ailment terms. People’s disabilities are referred to as types of difficulty, problem or impairment in the SmartHouse reports.

Approaches based on methods in information retrieval require large amounts of data and typically result in knowledge-poor representations. 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.

Construct a model, 2. Point out the exceptions, 3. Find causes why the exceptional cases do not fit the model, and 4. Develop a case base. So, we combine case-based reasoning with a model, in this specific situation with a statistical one. The idea to combine CBR with other methods is not new. For example Care-Partner resorts to a multi-modal reasoning framework for the cooperation of CBR and rule-based reasoning (RBR) [3]. Another way of combining hybrid rule bases with CBR is discussed by Prentzas and Hatzilgeroudis [4].

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