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IWINAC
2007
Springer
14 years 2 months ago
Morphisms of ANN and the Computation of Least Fixed Points of Semantic Operators
We consider a notion of morphism of neural networks and develop its properties. We show how, given any definite logic program P, the least fixed point of the immediate consequenc...
Anthony Karel Seda
ICANN
2005
Springer
14 years 1 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»
13 years 8 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...
NN
2002
Springer
161views Neural Networks» more  NN 2002»
13 years 7 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
ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...