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GTC ON-DEMAND

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Abstract:
We'll explore the application of generative modeling approaches to learning wireless network data distribution for network simulation and performance optimization. We'll compare three machine learning models that can be used for this purpose Gaussian mixture models, kernel density estimation, and generative adversarial networks.
We'll explore the application of generative modeling approaches to learning wireless network data distribution for network simulation and performance optimization. We'll compare three machine learning models that can be used for this purpose Gaussian mixture models, kernel density estimation, and generative adversarial networks.  Back
 
Topics:
5G & Edge
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9680
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