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148
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
205
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KES
2005
Springer
16 years 8 days ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
189
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AUSAI
2004
Springer
16 years 5 days ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
171
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CP
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. Although constraint programming offers a wealth of strong, generalpurpose methods, in practice a complex, real application demands a person who selects, combines, and ref...
187
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ILP
2000
Springer
15 years 10 months ago
2000
Springer
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...