By Ali Ghorbani (auth.), Ning Zhong, Vic Callaghan, Ali A. Ghorbani, Bin Hu (eds.)
This ebook constitutes the refereed court cases of the seventh foreign convention on energetic Media expertise, AMT 2011, held in Lanzhou, China, in September 2011. The 30 revised complete papers and six keynote talks have been rigorously reviewed and chosen for inclusion within the e-book. they're grouped in topcial sections on info mining and development research in energetic media; lively human-Web interplay and social media; lively internet intelligence functions; lively multi-agent and community platforms; in addition to know-how intelligence.
Read Online or Download Active Media Technology: 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings PDF
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Additional info for Active Media Technology: 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings
Various methods of setting the strength of connections in an MLP exist. One way is to set the weights explicitly, using a prior knowledge. Another way is to 'train' the MLP, feeding it by teaching patterns and then letting it change its weights according to some learning rule. In this paper the MLP is used as one of the base classifiers. Decision Tree (DT) is considered as one of the most versatile classifiers in the machine learning field. DT is considered as one of unstable classifiers. It means that it can converge to different solutions in successive trainings on same dataset with same initializations.
1 Neural Decision Making Facial attractiveness judgment is a kind of neural decision making process related to perception. It consists of collection and representation of all sources of priors, evidence, and value into a single quantity which is then processed and interpreted by the decision rule to make a choice or commitment so that the decision can be transformed and used to take action . Unlike information theory and a host of other biostatistical, econometric, and psychometric tools used for data analysis, we use the method and practice of combinatorial fusion analysis, which is related to the signal detection theory (SDT) defined by Green and Swets  (1966).
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