371 search results - page 36 / 75 » Competitive Neural Network Training: A Multi-Resolution Appr... |
100
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JIRS
2008
14 years 9 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
EUROPAR
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
113
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ISNN
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
132
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JMLR
2012
13 years 5 days ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
ICCS
2005
Springer
15 years 3 months ago
2005
Springer
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...