8 User Profiling from Imbalanced Data in a Declarative Scene Modelling Environment.
In: Artificial Intelligence Techniques for Computer Graphics; 2008, p123-140, 18p
Buch
Zugriff:
Declarative Modelling is an early-phase design technique allowing the user to describe an object or an environment in abstract terms, closer to human intuition. The geometric solutions automatically yielded for such a description are evaluated by the user and may be subsequently used for the construction of a computational model of his/her preferences. Due to the physical limitations of the human evaluator, and the large number of the representations produced, only a subset of the latter are actually evaluated by the user and eventually a small number of them are approved, leading to imbalanced datasets in regard to the learning mechanism invoked. In the current work we discuss and assess the capability of a mechanism adopted for user modelling in a declarative design environment to handle this imbalance. The experimental results in this context indicate considerable efficiency in the prediction for the under-represented class. [ABSTRACT FROM AUTHOR]
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Titel: |
8 User Profiling from Imbalanced Data in a Declarative Scene Modelling Environment.
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Autor/in / Beteiligte Person: | Bardis, Georgios ; Miaoulis, Georgios ; Plemenos, Dimitri |
Quelle: | Artificial Intelligence Techniques for Computer Graphics; 2008, p123-140, 18p |
Veröffentlichung: | 2008 |
Medientyp: | Buch |
ISBN: | 978-3-540-85127-1 (print) |
DOI: | 10.1007/978-3-540-85128-8_8 |
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