288 search results - page 50 / 58 » Improving Bayesian Network parameter learning using constrai... |
109
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INTERSPEECH
2010
14 years 8 months ago
2010
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
148
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WACV
2012
IEEE
13 years 8 months ago
2012
IEEE
In sports broadcasts, networks consisting of pan-tiltzoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard t...
157
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SDM
2012
SIAM
13 years 3 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
113
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NECO
2007
15 years 22 days ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
GECCO
2009
Springer
15 years 7 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...