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» Recursive Neural Networks and Graphs: Dealing with Cycles
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TNN
1998
123views more  TNN 1998»
13 years 4 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
ICANN
2007
Springer
13 years 11 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
COLT
1992
Springer
13 years 9 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
SPAA
2003
ACM
13 years 10 months ago
Information gathering in adversarial systems: lines and cycles
In this paper we consider the problem of routing packets to a single destination in a dynamically changing network, where both the network and the packet injections are under adve...
Kishore Kothapalli, Christian Scheideler
ICPR
2008
IEEE
14 years 6 months ago
Incremental classification of invoice documents
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...