Artificial Intelligence Methodology Systems And Applications

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Artificial Intelligence: Methodology, Systems, and Applications

Author: Daniel Dochev
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-08-26
This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008, held in Varna, Bulgaria in September 2008. The 30 revised full papers presented together with the 10 posters were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on agents; natural language processing and text analysis; machine learning and information retrieval; knowledge representation and reasoning; constraints, heuristics and search; applications; posters.
Artificial Intelligence: Methodology, Systems, and Applications

This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2016, held in Varna, Bulgaria in September 2015. The 32 revised full papers 6 poster papers presented were carefully reviewed and selected from 86 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.
Artificial Intelligence: Methodology, Systems, and Applications

Author: Darina Dicheva
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-08-19
This book constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2010, held in Varna, Bulgaria in September 2010.The 26 revised full papers presented together with the 13 posters were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on knowledge representation and reasoning; intelligent techniques for adaption, personalization, and recommendation; constraints and search; machine learning, data mining, and information retrieval; AI in education; applications.