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- W166824587 abstract "One important issue for a collaborative design framework is the intuitive manner designers describe scenes. To address the humans’ subjective description of a scene, personalization mechanisms are incorporated in the proposed architecture. In this paper, we examine different pattern analysis and machine intelligence algorithms for profiling in such framework. Two main approaches are described; the single (independent) profile estimation and the collaborative (dependent) case. Experimental results are presented to illustrate the efficiency of the proposal user’ profile methodologies." @default.
- W166824587 created "2016-06-24" @default.
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- W166824587 date "2009-01-01" @default.
- W166824587 modified "2023-09-24" @default.
- W166824587 title "Machine Learning and Pattern Analysis Methods for Profiling in a Declarative Collaorative Framework" @default.
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- W166824587 doi "https://doi.org/10.1007/978-3-642-03452-7_10" @default.
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