Publications

The members of this list may be interested in the most recent issue of
the IEEE Transactions on Knowledge and Data Engineering which is a
Special Issue on Connectionist Models for Learning in Structured
Domains.

	 IEEE Transactions on Knowledge and Data Engineering
		   Vol. 13, No. 2, March/April 2001

	     SPECIAL SECTION ON CONNECTIONIST MODELS FOR
		    LEARNING IN STRUCTURED DOMAINS

Abstracts can be found at http://www.dsi.unifi.it/neural/tkde-datas.html

Full text is available to subscribers from the IEEE TKDE home page
http://computer.org/tkde/index.htm

Guest Editorial Introduction to the Special Section
P. Frasconi, M. Gori, and A. Sperduti

Simple Strategies to Encode Tree Automata in Sigmoid Recursive Neural
Networks
R.C. Carrasco and M.L. Forcada

Integrating Linguistic Primitives in Learning Context-Dependent
Representation
S.W.K. Chan

Symbolic vs. Connectionist Learning: An Experimental Comparison in a
Structured Domain
P. Foggia, R. Genna, and M. Vento

Generalization Ability of Folding Networks
B. Hammer

Hierarchical Growing Cell Structures: TreeGCS
V.J. Hodge and J. Austin

Incremental Syntactic Parsing of Natural Language Corpora with Simple
Synchrony Networks
P.C.R. Lane and J.B. Henderson

Learning Distributed Representations of Concepts Using Linear
Relational Embedding
A. Paccanaro and G.E. Hinton

Clustering and Classification in Structured Data Domains Using Fuzzy
Lattice Neurocomputing (FLN)
V. Petridis and V.G. Kaburlasos

Representation and Processing of Structures with Binary Sparse
Distributed Codes
D.A. Rachkovskij