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102
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ICANN
2005
Springer
15 years 9 months ago
Short Term Memories and Forcing the Re-use of Knowledge for Generalization
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
Laurent Orseau
CORR
2008
Springer
103views Education» more  CORR 2008»
15 years 3 months ago
Flatness of the Energy Landscape for Horn Clauses
Abstract The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function f...
Saratha Sathasivam, Wan Ahmad Tajuddin Wan Abdulla...
118
Voted
NN
2002
Springer
161views Neural Networks» more  NN 2002»
15 years 3 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
122
Voted
ICONIP
2008
15 years 4 months ago
Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi...
ESANN
2007
15 years 4 months ago
Informational cost in correlation-based neuronal networks
The cost of maintaining a given level of activity in a neuronal network depends on its size and degree of connectivity. Should a neural function require large-size fully-connected ...
Gaetano Liborio Aiello, Carlo Casarino