Neuronale Netze: Eine Einführung in die Grundlagen, Anwendungen und Datenauswertung (German Edition)
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Publications: no matches. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their relative likelihood.
It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance. Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively. We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series.
The conference took place in Berlin, Germany, August 28—30, IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in in Baden-Baden Germany it quickly attractedmoreinterest bothsubmission-andattendance-wise ,andmovedfrom London to Amsterdam , and two years ago to Lisbon. Submission ratesalongwiththeeverimprovingqualityofpapershaveenabledtheor- nizers to assemble increasingly consistent and high-quality programs.
This year we were again overwhelmed by yet another record-breaking submission rate of papers. At the Program Chairs meeting we were — based on roughly reviews — in the lucky position of carefully selecting 17 papers for oral and 42 for poster presentation. Poster presenters were given the opportunity to summarize their papers in 3-minute spotlight presentations.
The oral, spotlight and poster presentations were then scheduled in a single-track, 2. Work presented in these proceedings ranges from theoretical contributions dealing, for example, with data cleaning and compression all the way to papers addressing practical problems in the areas of text classi?
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A considerable number of papers also center around the currently so popular applications in bioinformatics. Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance.
Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics SMPS that was held in Warsaw in In the following years the conference took place in Oviedo , in Bristol and in Toulouse In the current edition the conference returns to Oviedo.
go It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics. Myra Spiliopoulou.
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Computational Intelligence: A Methodological Introduction. Computational intelligence CI encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments. Detlef Nauck. Eines der spannendsten Themen im Bereich intelligenter Systeme - von namhaften Autoren geschrieben - zum Lernen und Nachschlagen.