BackPropagation through Cyclic Structures

Author:

Bianchini M.,Gori M.,Sarti L.,Scarselli F.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Frasconi, P., Gori, M., Sperduti, A.: A general framework for adaptive processing of data structures. IEEE Transactions on Neural Networks 9, 768–786 (1998)

2. Gori, M., Maggini, M., Martinelli, E., Scarselli, F.: Learning user profiles in NAUTILUS. In: International Conference on Adaptive Hypermedia and Adaptive Web–based Systems, Trento, Italy (August 2000)

3. De Mauro, C., Diligenti, M., Gori, M., Maggini, M.: Similarity learning for graph–based image representations. In: Proceedings of 3rd IAPR–TC15 Workshop on Graph–based Representations in Pattern Recognition, Ischia, Naples, May 23–25, pp. 250–259 (2001)

4. Gori, M., Maggini, M., Sarti, L.: A recursive neural network model for processing direct acyclic graphs with labeled edges. In: International Joint Conference on Neural Networks, Portland, USA (July 2003)

5. Bianchini, M., Gori, M., Scarselli, F.: Theoretical properties of recursive networks with linear neurons. IEEE Transactions on Neural Networks 12(5), 953–967 (2001)

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