1521 search results - page 81 / 305 » A learning model for oscillatory networks |
137
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ESANN
2007
15 years 7 months ago
2007
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...
173
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ECTEL
2006
Springer
15 years 10 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
176
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ISMDA
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. Due to the uncertain nature of many of the factors that influence on the performance of an emergency medical service, we propose using Bayesian networks to model this ki...
142
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ICTAI
1994
IEEE
15 years 10 months ago
1994
IEEE
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
135
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ISMDA
2001
Springer
15 years 11 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...