The goal of machine learning is to provide solutions which are trained by data or by experience coming from the environment. Many training algorithms exist and some brilliant successes were achieved. But even in structured environments for machine learning (e.g. data mining or board games), most applications beyond the…
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3 results for “Self-Configuration”
Self-configuring deep neural networks with fast training.
problem Training multi-level neural networks efficiently and automatically.
method Training neural networks layer by layer, using adaptive and self-adjusting parameters.
result Ability to self-configure and automatically build deep neural networks.
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alarms, signal quality indicators, users' behavioral data, etc. Advanced mathematical tools are required to extract meaningful information from …