Multi-disciplinary Trends in Artificial Intelligence [electronic resource] : 10th International Workshop, MIWAI 2016, Chiang Mai, Thailand, December 7-9, 2016, Proceedings / edited by Chattrakul Sombattheera, Frieder Stolzenburg, Fangzhen Lin, Abhaya Nayak.

Contributor(s): Sombattheera, Chattrakul [editor.] | Stolzenburg, Frieder [editor.] | Lin, Fangzhen [editor.] | Nayak, Abhaya [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 10053 | Lecture Notes in Computer Science ; 10053Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XXIII, 314 p. 82 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319493978Subject(s): Artificial intelligence | Data mining | Optical data processing | Algorithms | Application software | Pattern recognition | Artificial Intelligence | Data Mining and Knowledge Discovery | Image Processing and Computer Vision | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342Online resources: Click here to access online
Contents:
Cognitive science -- Computational intelligence -- Computational philosophy -- Game theory -- Machine learning -- Multi-agent systems -- Natural language -- Representation and reasoning -- Speech -- Vision and the web -- Applications of AI in big data; Bioinformatics -- Biometrics -- Decision support -- E-commerce -- Image processing -- Analysis and retrieval -- Industrial applications -- Knowledge management -- Privacy -- Recommender systems -- Security -- Software engineering -- Spam filtering -- Surveillance -- Telecommunications -- Web services.
In: Springer Nature eBookSummary: This book constitutes the refereed conference proceedings of the 10th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2016, held in Chiang Mai, Thailand, in December 2016. The 22 revised full papers presented together with 5 short papers and 2 abstracts of invited talks were carefully reviewed and selected from 50 submissions. The workshop solicits papers from all areas of AI including cognitive science; computational intelligence; computational philosophy; game theory; machine learning; multi-agent systems; natural language; representation and reasoning; speech; vision and the web; as well as applications of AI in big data; bioinformatics; biometrics; decision support; e-commerce; image processing; analysis and retrieval; industrial applications; knowledge management; privacy; recommender systems; security; software engineering; spam filtering; surveillance; telecommunications; and web services.
Item type: E-BOOKS
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Cognitive science -- Computational intelligence -- Computational philosophy -- Game theory -- Machine learning -- Multi-agent systems -- Natural language -- Representation and reasoning -- Speech -- Vision and the web -- Applications of AI in big data; Bioinformatics -- Biometrics -- Decision support -- E-commerce -- Image processing -- Analysis and retrieval -- Industrial applications -- Knowledge management -- Privacy -- Recommender systems -- Security -- Software engineering -- Spam filtering -- Surveillance -- Telecommunications -- Web services.

This book constitutes the refereed conference proceedings of the 10th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2016, held in Chiang Mai, Thailand, in December 2016. The 22 revised full papers presented together with 5 short papers and 2 abstracts of invited talks were carefully reviewed and selected from 50 submissions. The workshop solicits papers from all areas of AI including cognitive science; computational intelligence; computational philosophy; game theory; machine learning; multi-agent systems; natural language; representation and reasoning; speech; vision and the web; as well as applications of AI in big data; bioinformatics; biometrics; decision support; e-commerce; image processing; analysis and retrieval; industrial applications; knowledge management; privacy; recommender systems; security; software engineering; spam filtering; surveillance; telecommunications; and web services.

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