440 search results - page 46 / 88 » Artificial Neural Network for Sequence Learning |
143
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EUROCOLT
1997
Springer
15 years 8 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
154
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
136
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WSOM
2009
Springer
15 years 10 months ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
139
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AIIA
2009
Springer
15 years 10 months ago
2009
Springer
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
127
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DIGRA
2005
Springer
15 years 9 months ago
2005
Springer
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...