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Author: Gabriele Kern-Isberner
Publisher: Springer
ISBN: 3319671901
Category : Computers
Languages : en
Pages : 411
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Book Description
This book constitutes the refereed proceedings of the 40th Annual German Conference on Artificial Intelligence, KI 2017 held in Dortmund, Germany in September 2017. The 20 revised full technical papers presented together with 16 short technical communications were carefully reviewed and selected from 73 submissions. The conference cover a range of topics from, e. g., agents, robotics, cognitive sciences, machine learning, planning, knowledge representation, reasoning, and ontologies, with numerous applications in areas like social media, psychology, transportation systems and reflecting the richness and diversity of their field.
Author: Gabriele Kern-Isberner
Publisher: Springer
ISBN: 3319671901
Category : Computers
Languages : en
Pages : 411
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 40th Annual German Conference on Artificial Intelligence, KI 2017 held in Dortmund, Germany in September 2017. The 20 revised full technical papers presented together with 16 short technical communications were carefully reviewed and selected from 73 submissions. The conference cover a range of topics from, e. g., agents, robotics, cognitive sciences, machine learning, planning, knowledge representation, reasoning, and ontologies, with numerous applications in areas like social media, psychology, transportation systems and reflecting the richness and diversity of their field.
Author: Ulrich Furbach
Publisher: Springer
ISBN: 3540318186
Category : Computers
Languages : en
Pages : 420
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Book Description
This volume contains the research papers presented at KI 2005, the 28th German Conference on Artificial Intelligence, held September 11 –14, 2005 in Koblenz, Germany.
Author: Raúl Monroy
Publisher: Springer Science & Business Media
ISBN: 3540214593
Category : Computers
Languages : en
Pages : 941
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Book Description
This book constitutes the refereed proceedings of the Third Mexican International Conference on Artificial Intelligence, MICAI 2004, held in Mexico City, Mexico in April 2004. The 94 revised full papers presented were carefully reviewed and selected from 254 submissions. The papers are organized in topical sections on applications, intelligent interfaces and speech processing, knowledge representation, logic and constraint programming, machine learning and data mining, multiagent systems and distributed AI, natural language processing, uncertainty reasoning, vision, evolutionary computation, modeling and intelligent control, neural networks, and robotics.
Author: Frank Trollmann
Publisher: Springer
ISBN: 3030001113
Category : Computers
Languages : en
Pages : 422
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Book Description
This book constitutes the refereed proceedings of the 41st German Conference on Artificial Intelligence, KI 2018, held in Berlin, Germany, in September 2018. The 20 full and 14 short papers presented in this volume were carefully reviewed and selected from 65 submissions. The book also contains one keynote talk in full paper length. The papers were organized in topical sections named: reasoning; multi-agent systems; robotics; learning; planning; neural networks; search; belief revision; context aware systems; and cognitive approach.
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 580
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Book Description
Author: Wolfgang Ertel
Publisher: Springer Nature
ISBN: 3658431024
Category :
Languages : en
Pages : 393
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Book Description
Author: Andrew Bruce
Publisher: Springer Science & Business Media
ISBN: 9780387947143
Category : Computers
Languages : en
Pages : 568
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Book Description
Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. Furthermore, in addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered, and applications of wavelet analysis are illustrated -including nonparametric function estimation, digital image compression, and time-frequency signal analysis. This book and software package is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on the subject presuppose advanced training in mathematics, this book merely requires that readers be familiar with calculus and linear algebra at the undergraduate level.
Author: Jacek Koronacki
Publisher: Springer Science & Business Media
ISBN: 3642051766
Category : Computers
Languages : en
Pages : 521
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Book Description
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.
Author:
Publisher:
ISBN:
Category : Data mining
Languages : en
Pages : 898
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Book Description
Author: Edwin Diday
Publisher: John Wiley & Sons
ISBN: 9780470723555
Category : Mathematics
Languages : en
Pages : 476
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Book Description
Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.
