Learning driving behavior by timed syntactic pattern recognition

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 1529-1534

  Verwer, Sicco ^a   De Weerdt, Mathijs ^b   Witteveen, Cees ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DRIVING BEHAVIOR; GRAMMATICAL INFERENCES; LEARNING PROBLEM; ON-BOARD SENSORS; REAL-TIME AUTOMATON; REAL-WORLD PROBLEM; SEMI-SUPERVISED CLASSIFICATION; SYNTACTIC PATTERN RECOGNITION;

ARTIFICIAL INTELLIGENCE; AUTOMATA THEORY; COMPUTATIONAL MECHANICS; SYNTACTICS; TRUCK DRIVERS;

PATTERN RECOGNITION;

EID: 84881032227     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-257     Document Type: Conference Paper

References (15)

1. Hirotsugu Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6):716-723, 1974.
2. Rajeev Alur and David L. Dill. A theory of timed automata. Theoretical Computer Science, 126:183-235, 1994.
3. Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
4. Colin de la Higuera. A bibliographical study of grammatical inference. Pattern Recognition, 38(9):1332-1348, 2005.
5. Catalin Dima. Real-time automata. Journal of Automata, Languages and Combinatorics, 6(1):2-23, 2001.
6. King Sun Fu. Syntactic Methods in Pattern Recognition. Academic Press, 1974.
7. Lawrence R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. In Proceedings of the IEEE, volume 77, pages 257-286, 1989.
8. John F. Roddick and Myra Spiliopoulou. A survey of temporal knowledge discovery paradigms and methods. IEEE Transactions on Knowledge and Data Engineering, 14(4):750-767, 2002.
9. Cosma Rohilla Shalizi and James P. Crutchfield. Computational mechanics: pattern and prediction, structure and simplicity. Journal of statistical physics, 104(3-4):817-879, 2001.
10. Michael Sipser. Introduction to the Theory of Computation. PWS Publishing, 1997.
11. Wil M.P. van der Aalst and A.J.M.M. (Ton) Weijters. Process mining. In Process-Aware Information Systems: Bridging People and Software through Process Technology, pages 235-255. Wiley & Sons, 2005.
12. Sicco Verwer, Mathijs de Weerdt, and Cees Witteveen. One-clock deterministic timed automata are efficiently identifiable in the limit. In LATA, volume 5457 of LNCS, pages 740-751. Springer, 2009.
13. Sicco Verwer, Mathijs de Weerdt, and Cees Witteveen. A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data. In ICGI, volume 6339 of LNCS, pages 203-216. Springer, 2010.
14. Shun-Zheng Yu. Hidden semi-markov models. Artificial Intelligence, 174(2):215-243, 2010.
15. Xiaojin Zhu and Andrew B. Goldberg. Introduction to semi-supervised learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, 3(1):1-130, 2009.