By Ryohei Nakatsu, Visit Amazon's Naoko Tosa Page, search results, Learn about Author Central, Naoko Tosa, , Fazel Naghdy, Philippe Codognet
ISBN-10: 3642152139
ISBN-13: 9783642152139
This ebook constitutes the refereed lawsuits of the moment IFIP TC 14 leisure Computing Symposium, ECS 2010, held as a part of the twenty first international machine Congress, WCC 2010, in Brisbane, Australia, in September 2010. The 23 revised complete papers awarded including one invited paper have been rigorously reviewed and chosen from a variety of submissions. The papers tackle huge cultural matters comparable to sensitivity, reminiscence, spirituality, storytelling, racial features and so forth. that experience no longer been taken care of in laptop technology and engineering to this point. the subjects variety from renovation of cultural background and conventional applied sciences utilizing pcs, treating versions and kinds in cultural contents to cultural schooling utilizing desktops.
Read or Download Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010, ... in Information and Communication Technology) PDF
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Additional resources for Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010, ... in Information and Communication Technology)
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In: Proceedings of International Conference on Cyberworld. IEEE, Los Alamitos (2009) 4. : Androutsopoulos: Building an adaptive museum gallery in second life. In: Proceedings of Museum and the Web, Montreal, Quebec, Canada, pp. 749–753 (2008) 5. : Bibliothque publique d’Information. Centre Georges Pompidou, Paris (1983) 6. : Tracking users’ movements in an artistic physical space. In: The i3 Annual Conference, held in Siena, Italy, October 20-22, pp. 103– 106 (1999) 7. : The environment as interface.
Intelligent systems with machine learning and data mining play a vital role for personalisation system such as finding customer’s needs[1]. Wu et al. [6] have shown that some commonly used algorithms in data mining are k-means, and SVM. Wu et al. also described k-means as a simple iterative clustering method. This is also a simple algorithm with the adaptation ability for different applications [2]. The clustering component in [16, 17] also show the mobile user clustering using demographic factors and information ranking to filter the cluster could enhance the system.
But it requires extra human effort at the point of input of all new cases, and is essentially derivative. Alternatively, one could wish for a method of having the machine generate its own emotional graphs in response to cases. To do that, the model would need an attitudinal policy, which maps objects, events and situations onto a set of affective states. The mapping could be based on "survival-value" or other machineoriented teleological principle. Though they could be difficult to create, and the resultant reactions are not guaranteed to be recognisable to a person, but it requires no extra effort at input.
Cultural Computing: Second IFIP TC 14 Entertainment Computing Symposium, ECS 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010, ... in Information and Communication Technology) by Ryohei Nakatsu, Visit Amazon's Naoko Tosa Page, search results, Learn about Author Central, Naoko Tosa, , Fazel Naghdy, Philippe Codognet
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