By Elizabeth Chang, Tharam Dillon (auth.), Harris Papadopoulos, Andreas S. Andreou, Lazaros Iliadis, Ilias Maglogiannis (eds.)
This booklet constitutes the refereed lawsuits of the ninth IFIP WG 12.5 overseas convention on synthetic Intelligence functions and concepts, AIAI 2013, held in Paphos, Cyprus, in September/October 2013. The 26 revised complete papers offered including a keynote speech on the major occasion and forty four papers of eight collocated workshops have been conscientiously reviewed and chosen for inclusion within the quantity. The papers of the most occasion are geared up in topical sections on information mining, scientific informatics and biomedical engineering, challenge fixing and scheduling, modeling and selection help structures, robotics, and clever sign and snapshot processing.
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Additional resources for Artificial Intelligence Applications and Innovations: 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 – October 2, 2013, Proceedings
The ontological backbone, the serious videogame for content annotation, the data mining phase and the final creativity support tool. The paper concludes in the final section. 2 The Architecture of PromONTotion The architecture design of the proposed tool relies on several distinct underlying phases, components and techniques. Figure 1 shows the various elements and tasks of PromONTotion. Ontology Backbone Design ‘House of Ads’ Videogame Collaborative Annotating Ontology Population Reasoning Data Mining Ad Creativity Support Tool Development Fig.
A combination of evaluation approaches will be employed in order to record 18 K. Kermanidis et al. the opinion and the impressions of the end users. Questionnaires will be handed out and interviews will be conducted to detect the problems and weaknesses of the support tool. Problems in the tool usability will be identified by evaluating its usage in real time with the think-aloud protocol. A group of ontology experts will evaluate the created ontology based on international ontology evaluation standards for its coverage, classification ability etc.
Output- sensitive algorithms for computing nearest-neighbor decision boundaries. Discrete and Computational Geometry 33(4), 593–604 (2005) 5. , Diego, G. ): Voting Advice Applications in Europe: The State of the Art. ScriptaWeb, Napoli (2010) 6. : A primer of maximum likelihood algorithms available for use with missing data. Structural Equation Modeling 8, 128–141 (2001) 7. : Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, 2nd edn. Chapman and Hall/CRC (2006) 8. : Data Mining: Concepts and Techniques, 3rd edn.