Buch, Englisch, 1198 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1814 g
4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings
Buch, Englisch, 1198 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1814 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-29896-0
Verlag: Springer
This book constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, held in Monterrey, Mexico, in November 2005.
The 120 revised full papers presented were carefully reviewed and selected from 423 submissions. The papers are organized in topical sections on knowledge representation and management, logic and constraint programming, uncertainty reasoning, multiagent systems and distributed AI, computer vision and pattern recognition, machine learning and data mining, evolutionary computation and genetic algorithms, neural networks, natural language processing, intelligent interfaces and speech processing, bioinformatics and medical applications, robotics, modeling and intelligent control, and intelligent tutoring systems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
Knowledge Representation and Management.- Logic and Constraint Programming.- Uncertainty Reasoning.- Multiagent Systems and Distributed AI.- Computer Vision and Pattern Recognition.- Machine Learning and Data Mining.- Evolutionary Computation and Genetic Algorithms.- Neural Networks.- Natural Language Processing.- Intelligent Interfaces and Speech Processing.- Bioinformatics and Medical Applications.- Robotics.- Modeling and Intelligent Control.- Intelligent Tutoring Systems.
