A dynamic HMM for on-line segmentation of sequential data

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Kohlmorgen, Jons ^a   Lemm, Steven ^a  

^a FRAUNHOFER FOKUS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNAL PARAMETERS; NON-STATIONARY TIME SERIES; NUMBER OF STATE; OPERATING MODES; PROBABILITY DENSITIES; SEQUENTIAL DATA; SWITCHING DYNAMICAL SYSTEMS; UNSUPERVISED SEGMENTATION;

DYNAMICAL SYSTEMS;

EID: 84898994780     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Bellman, R. E. (1957). Dynamic Programming, Princeton University Press, Princeton, NJ.
2. Bengio, Y., Frasconi, P. (1995). An Input Output HMM Architecture. In: Advances in Neural Information Processing Systems 7 (eds. Tesauro, Touretzky, Leen), Morgan Kaufmann, 427-434.
3. Bengio, Y. (1999). Markovian Models for Sequential Data. Neural Computing Surveys, http://www.icsi.berkeley.edu/jagota/NCS, 2:129-162.
4. Bishop, C. M. (1995). Neural Networks for Pattern Recognition, Oxford Univ. Press, NY.
5. Husmeier, D. (2000). Learning Non-Stationary Conditional Probability Distributions. Neural Networks 13, 287-290.
6. Kehagias, A., Petridis, V. (1997). Time Series Segmentation using Predictive Modular Neural Networks. Neural Computation 9, 1691-1710.
7. Kohlmorgen, J., Miiller, K.-R., Rittweger, J., Pawelzik, K. (2000). Identification of Nonstationary Dynamics in Physiological Recordings, Biol Cybern 83(1), 73-84.
8. Kohlmorgen, J., Lemm, S., to appear.
9. Liehr, S., Pawelzik, K., Kohlmorgen, J., Miiller, K.-R. (1999). Hidden Markov Mixtures of Experts with an Application to EEG Recordings from Sleep. Theo Biosci 118, 246-260.
10. Mackey, M., Glass, L. (1977). Oscillation and Chaos in a Physiological Control System. Science 197, 287.
11. Packard, N. H., Crutchfield, J. P., Farmer, J. D., Shaw, R. S. (1980). Geometry from a Time Series. Phys Rev Letters 45, 712-716.
12. Pawelzik, K., Kohlmorgen, J., Miiller, K.-R. (1996). Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics. Neural Computation 8(2), 340-356.
13. Rabiner, L. R. (1989). A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of the IEEE 77(2), 257-286.
14. Ramamurti, V., Ghosh, J. (1999). Structurally Adaptive Modular Networks for Non-Stationary Environments. IEEE Tr. Neural Networks 10(1), 152-160.