Structure discovery From sequential data

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004

Volumn 1, Issue , 2004, Pages 300-305

  Coble, Jeffrey ^a   Cook, Diane J ^a   Holder, Lawrence B ^a   Rathi, Runu ^a  

^a University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEMOGRAPHY; INTERACTIVE ASSISTANTS; OPTIMAL SUBSTRUCTURES; SEQUENTIAL DATA;

ARTIFICIAL INTELLIGENCE; DATA ACQUISITION; ITERATIVE METHODS; OPTIMIZATION; PATTERN RECOGNITION; PROJECT MANAGEMENT;

DATA MINING;

EID: 10044273202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Cook, D., Youngblood, M., Heierman, E., Gopalratnam, K., Rao, S, Litvin, A. and Khawaja, F. 2003. MavHome: An Agent-Based Smart Home, Proceedings of the First IEEE International Conference on Pervasive Computing. Fort Worth, Texas: IEEE Computer Society.
3. Holder, L., Cook, D., Gonzalez, J., and Jonyer, I. 2002. In Structural Pattern Recognition in Graphs. Pattern Recognition and String Matching, Chen, D. and Cheng, X. eds. Kluwer Academic Publishers.
4. Mitchell, Tom. 1997 Machine Learning. McGraw Hill.
5. Rissanen, J. 1989. Stochastic Complexity in Statistical Inquiry. World Scientific Publishing Company, 1989.
6. Vladimir N. Vapnik. 1995. The Nature of Statistical Learning Theory. Springer, New York, NY, USA.
7. Widmer, G. and Kubat, M. 1996. Learning in the Presence of Concept Drift and Hidden Contexts. Machine Learning, 23, 69-101