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  1. Progress in Artificial Intelligence : 9th Portuguese Conference on Artificial Intelligence, EPIA 99 vora, Portugal, September 2124, 1999 Proceedings

    Berlin ; Heidelberg : Springer-Verlag Berlin Heidelberg, 1999.

    This book constitutes the refereed proceedings of the 9th Portuguese Conference on Artificial Intelligence, EPIA '99, held in vora, Portugal in September 1999. The 23 revised full papers presented together with three invited full papers were carefully reviewed and selected from a total of 66 submissions from 17 different countries. The papers are organized in topical sections on constraint programming, natural language processing, spatial reasoning, logic programming, theorem proving, reasoning under uncertainty, multi-agent systems, abduction and revision, and genetic algorithms.The Portuguese Association for Arti cial Intelligence (APPIA) has been re- larly organising the Portuguese Conference on Arti cial Intelligence (EPIA). This ninth conference follows previous ones held in Porto (1985), Lisboa (1986), Braga (1987), Lisboa (1989), Albufeira (1991), Porto (1993), Funchal (1995) and Coimbra (1997). Starting in 1989, the conferences have been held biennially (alternating with an APPIA Advanced School on Arti cial Intelligence) and become truly international: English has been adopted as the o cial language and the proceedings are published in Springer's LNAI series. The conference has recon rmed its high international standard this year, largely due to its programme committee, composed of distinguished researchers in a variety of specialities in Arti cial Intelligence, half of them from Portuguese universities. This has attracted a signi cant international interest, well expressed by the number of papers submitted (66), from 17 di erent countries, 29 of which are by Portuguese researchers. From the 66 papers submitted, about one third of them (23) were selected for oral presentation and have been published in this volume. The review process enabled the selection of high quality papers, each paper being reviewed by two or three reviewers, either from the programme committee or by their appointment. We would like to thank all of the reviewers for their excellent and hard work.

    Online SpringerLink

  2. Hybrid classifiers : methods of data, knowledge, and classifier combination

    Woźniak, Michał
    Heidelberg : Springer, [2013?]

    This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

    Online SpringerLink

  3. Successful case-based reasoning applications. 2

    Heidelberg : Springer, [2013?]

    Case-based reasoning paradigms offer automatic reasoning capabilities which are useful for the implementation of human like machines in a limited sense. This research book is the second volume in a series devoted to presenting Case-based reasoning (CBR) applications. The first volume, published in 2010, testified the flexibility of CBR, and its applicability in all those fields where experiential knowledge is available. This second volume further witnesses the heterogeneity of the domains in which CBR can be exploited, but also reveals some common directions that are clearly emerging in recent years. This book will prove useful to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

    Online SpringerLink

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