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» On Generalization by Neural Networks
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IWANN
2001
Springer
15 years 8 months ago
Using Contextual Information to Selectively Adjust Preprocessing Parameters
Abstract. It is generally accepted that some of the problems and ambiguities at the low level of processing can not be resolved without taking into account contextual expectations....
Predrag Neskovic, Leon N. Cooper
ICANN
2007
Springer
15 years 8 months ago
Classifying EEG Data into Different Memory Loads Across Subjects
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
Liang Wu, Predrag Neskovic
ANNPR
2006
Springer
15 years 8 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
NN
2002
Springer
15 years 3 months ago
Three creatures named 'forward model'
It has recently been suggested that the nervous system employs forward models for the purpose of motor control. The evidence for this hypothetical computational structure comes fr...
Amir Karniel
COGSCI
2011
108views more  COGSCI 2011»
14 years 11 months ago
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural pa...
Paul Thagard, Terrence C. Stewart