142 search results - page 1 / 29 » An Experimental Comparison of Symbolic and Connectionist Lea... |
IJCAI
1989
13 years 5 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
VLDB
1995
ACM
13 years 8 months ago
1995
ACM
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
ML
2011
ACM
12 years 11 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
CONTEXT
2001
Springer
13 years 9 months ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...