By Lazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos (eds.)
This e-book constitutes the refereed court cases of the tenth IFIP WG 12.5 overseas convention on synthetic Intelligence purposes and recommendations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised complete papers and 29 brief papers offered have been rigorously reviewed and chosen from a variety of submissions. they're prepared within the following topical sections: learning-ensemble studying; social media and cellular functions of AI; hybrid-changing environments; agent (AGE); category trend acceptance; genetic algorithms; photograph and video processing; function extraction; environmental AI; simulations and fuzzy modeling; and information mining forecasting.
Read Online or Download Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings PDF
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Additional resources for Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings
Thus in reality, to cover the multi-class problems, the commonly used voting process is plurality voting, which selects the candidate class that receives the most votes. That is why usually one do not distinguish between plurality voting and majority voting, and the term “majority voting” is used even if the underlining criterion is plurality voting. This method is also known as the basic ensemble method . However there may be more than one class that receives the largest number of classifications (or votes) by the ensemble members.
Org/~paul/MathUI06/ 39. : XI: Open-source conver. : November 20, 2008) 40. : Ontology-based extraction and structuring of information from data- rich unstructured documents. In: Proc. 7th Intl. Conf. on Inform. & Knowl. Mgmt. (CIKM), USA, pp. 52–59 (1998) 41. : Automatic ontology-based knowledge extraction from web documents. IEEE Intel. Syst. 18(1), 14–21 (2003) 42. : Cream: Creating relational metadata with a component-based, ontology-driven annotation framework. In: 1st Intl. Conf. on Knowledge Capture, Canada, pp.
34(1) (1999) Conjoint Mining of Data and Content with Applications 17 24. : Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: 18th Intl. Conf. on Machine Learning (ICML), pp. 282–289 (2001) 25. : Introduction to the bio-entity recognition task at JNLPBA. In: Proc. , pp. 70–75 (2004) 26. : Semantic integration of heterogeneous information sources. Data Knowl. Eng. 36(3), 215–249 (2001) 27. : A semantic approach to integrating XML and structured data sources.
Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014. Proceedings by Lazaros Iliadis, Ilias Maglogiannis, Harris Papadopoulos (eds.)