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Special Session on Real WORLD APPLICATIONS OF HAIS UNDER UNCERTAINTYHybrid Artificial Intelligent Systems (HAIS) intend to obtain better models by means of the combination and association of learning paradigms. As stated in the literature, HAIS have been successfully applied in many different problems: classification, reasoning, prediction, etc. In case of real world applications, the solutions must deal with the inherent uncertainty, and must be able to manage it. The data from real world problems are noisy, includes bias, errors, etc. Also, the process of making decisions is not always unquestionable, which induces that the datasets coming from real processes can include doubts, that is, uncertainty. Real world HAIS applications must deal with the uncertainty that is inherent to real problems, therefore a suitable method for uncertainty management must be adopted. This session concerns with the improvement of performance that managing the uncertainty in HAIS applied to real world problems and processes generates, including the following topics:
All submissions will be refereed by at least three experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS'08 will be reviewed by at least two members of the Program Committee. Accepted contributions are to be published in the HAIS'08 Proceedings. NOTICE: At least one author of each accepted paper must register in order for the paper to be included in the HAIS 2008 Proceedings. Dates:Deadline for papers: 30th April, 2008 Notification of papers acceptance: 23th May, 2008 Deadline for camera-ready papers: 13th June, 2008 Publishing in journal:Contributtions accepted for this session can be selected to be included in a special issue of the following journals:
as stated in SPECIAL ISSUES. Co-Chair:Enrique de la Cal, Computer Science Department, University of Oviedo, Spain José Ramón Villar, Computer Science Department, University of Oviedo, Spain Scientific Committee:Enrique de la Cal, Computer Science Department, University of Oviedo, Spain Richard T. Freeman, Capgemini UK plc Isaías García, Electric and Electronic Department, University of León, Spain Lars Graening, Honda Research Institute Europe GmbH Luis Junco, Computer Science Department, University of Oviedo, Spain Gerardo M. Méndez, Electronic and Electric Engineering Department, Instituto Tecnológico de Nuevo León, Mexico Adolfo Otero, Computer Science Department, University of Oviedo, Spain José Otero, Computer Science Department, University of Oviedo, Spain Adolfo Rodríguez, Computer Science Department, University of León, Spain Luciano Sánchez, Computer Science Department, University of Oviedo, Spain Javier Sedano, Electromagnetic Engineering Department, University of Burgos, Spain María del Rosario Suárez, Computer Science Department, University of Oviedo, Spain José Ramón Villar, Computer Science Department, University of Oviedo, Spain Ana Palacios, Computer Science Department, University of Oviedo, Spain Contact Information:
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