Compositional generative mapping of structured data

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Bacciu, Davide ^a   Micheli, Alessio ^a   Sperduti, Alessandro ^b  

^a UNIVERSITY OF PISA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; MARKOV PROCESSES; PATTERN RECOGNITION; TREES (MATHEMATICS);

BOTTOM UP; CONTEXTUAL INFORMATION; GENERATIVE MAPPING; GENERATIVE MODEL; HIERARCHICAL INFORMATION; MARKOV MODELING; STRUCTURED DATA; TOPOGRAPHIC MAPPING; TREE-STRUCTURED DATA; UPWARDS PROPAGATION;

MAPPING;

EID: 79959401550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596606     Document Type: Conference Paper

References (14)

1. B. Hammer, A. Micheli, A. Sperduti, and M. Strickert, "A general framework for unsupervised processing of structured data," Neurocomputing, vol. 57, pp. 3-35, 2004.
2. M. Hagenbuchner, A. Sperduti, A. Tsoi et al., "A self-organizing map for adaptive processing of structured data," IEEE Trans. Neural Networks, vol. 14, no. 3, pp. 491-505, 2003.
3. N. Gianniotis and P. Tino, "Visualization of Tree-Structured Data Through Generative Topographic Mapping," IEEE Transactions on Neural Networks, vol. 19, no. 8, pp. 1468-1493, 2008.
4. C. Bishop, M. Svensén, and C. Williams, "GTM: The generative topographic mapping," Neural Comput., vol. 10, no. 1, pp. 215-234, 1998.
5. M. Crouse, R. Nowak, and R. Baraniuk, "Wavelet-based statistical signal-processing using hidden markov-models," IEEE Trans. Signal Process., vol. 46, no. 4, pp. 886-902, April 1998.
6. C. Bishop, G. Hinton, and I. Strachan, "GTM through time," in Proc. of the 5th Int. Conf. on Artif. Neural Networks, Jul 1997, pp. 111-116.
7. L. K. Saul and M. I. Jordan, "Mixed memory markov models: Decomposing complex stochastic processes as mixtures of simpler ones," Mach. Learn., vol. 37, no. 1, pp. 75-87, 1999.
8. M. Varsta, J. Heikkonen, J. Lampinen, and J. Millán, "Temporal Kohonen map and the recurrent self-organizing map: analytical and experimental comparison," Neural processing letters, vol. 13, no. 3, pp. 237-251, 2001.
9. T. Koskela, M. Varsta, J. Heikkonen, and K. Kaski, "Recurrent SOM with local linear models in time series prediction," in 6th Europ. Symp. on Artif. Neural Netw. Citeseer, 1998, pp. 167-172.
10. P. Frasconi, M. Gori, and A. Sperduti, "A general framework for adaptive processing of data structures," IEEE Trans. Neural Networks, vol. 9, no. 5, pp. 768-786, 1998.
11. D. Bacciu, A. Micheli, and A. Sperduti, "A bottom-up hidden tree markov model," University of Pisa, TR-10-08, Tech. Rep., 2010.
12. J. Durand, P. Goncalves, Y. Guedon, I. Rhone-Alpes, and F. Montbonnot, "Computational methods for hidden Markov tree models-an application to wavelet trees," IEEE Trans. Signal Process., vol. 52, no. 9, pp. 2551-2560, 2004.
13. C. Bishop, M. Svensen, and C. Williams, "Developments of the generative topographic mapping," Neurocomp., vol. 21, no. 1-3, pp. 203-224, 1998.
14. P. Tiño, I. Farka.s, and J. van Mourik, "Dynamics and topographic organization of recursive self-organizing maps," Neural Comput., vol. 18, no. 10, pp. 2529-2567, 2006.