This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains
March/April 2001 (vol. 13 no. 2)
pp. 145-147

[1] J.A. Fodor and Z.W. Pylyshyn, “Connectionism and Cognitive Architecture: A Critical Analysis,” Connections and Symbols, S. Pinker and J. Mehler, eds., pp. 3–71, 1988.
[2] G.E. Hinton, “Special Issue: Connectionist Symbol Processing,” Artificial Intelligence, vol. 46, nos. 1-2, 1990.
[3] J.B. Pollack, “Recursive Distributed Representations,” Artificial Intelligence, vol. 46, nos. 1-2, pp. 77–106, 1990.
[4] G.E. Hinton, “Mapping Part-Whole Hierarchies into Connectionist Networks,” Artificial Intelligence, vol. 46, pp. 47–75, 1990.
[5] P. Smolensky, “Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems,” Artificial Intelligence, vol. 46, pp. 159–216, 1990.
[6] T.A. Plate, “Holographic Reduced Representations,” IEEE Trans. Neural Networks, vol. 6, no. 3, pp. 623–641, 1995.
[7] C. Goller and A. Küchler, “Learning Task-Dependent Distributed Representations by Backpropagation through Structure,” Proc. IEEE Conf. Neural Networks, 1996.
[8] A. Sperduti, D. Majidi, and A. Starita, “Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition,” Advances in Structural and Syntactical Pattern Recognition, P. Perner, P. Wang, and A. Rosenfeld, eds., pp. 90-99, 1996.
[9] A. Sperduti and A. Starita, “Supervised Neural Networks for the Classification of Structures,” IEEE Trans. Neural Networks, vol. 8, no. 3, pp. 714–735, 1997.
[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] S. Muggleton and L. De Raedt, “Inductive Logic Programming: Theory and Methods,” J. Logic Programming, vol. 19, no. 20, pp. 629-679, 1994.
[12] N. Friedman, L. Getoor, D. Koller, and A. Pfeffer, “Learning Probabilistic Relational Models,” Proc. Int'l Joint Conf. Artificial Intelligence, 1999.
[13] G.E. Hinton, “Learning Distributed Representations of Concepts,” Proc. Eighth Ann. Conf. Cognitive Science Soc., pp. 1-12, 1986.

Citation:
Paolo Frasconi, Marco Gori, Alessandro Sperduti, "Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains," IEEE Transactions on Knowledge and Data Engineering, vol. 13, no. 2, pp. 145-147, March-April 2001, doi:10.1109/TKDE.2001.917554
Usage of this product signifies your acceptance of the Terms of Use.