Author:
Uwents Werner,Monfardini Gabriele,Blockeel Hendrik,Gori Marco,Scarselli Franco
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference75 articles.
1. Almeida, L. B. (1990). A learning rule for asynchronous perceptrons with feedback in a combinatorial environment. Piscataway: IEEE Press. pp. 102–111.
2. Back, A., & Tsoi, A. C. (1994). Locally recurrent globally feedforward networks, a critical review of architectures. IEEE Transactions on Neural Networks, 5(3), 229–239.
3. Baldi, P., & Pollastri, G. (2004). The principled design of large-scale recursive neural network architectures-DAG-RNNs and the protein structure prediction problem. Journal of Machine Learning Research, 4, 575–602.
4. Bengio, Y., Frasconi, P., & Simard, P. (1994). Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks, 5, 157–166. Special Issue on Recurrent Neural Networks.
5. Bianchini, M., Gori, M., & Scarselli, F. (2001). Processing directed acyclic graphs with recursive neural networks. IEEE Transactions on Neural Networks, 12(6), 1464–1470.
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