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Among popular models, exponential random graph models (ERGM) have been developed to study these complex networks. For large networks, however, maximum likelihood estimation (MLE) of parameters in ...
The observer here presented is derived exploiting the structure of the extended system. Conditions of global exponential convergence are given and discussed. Computer simulations demonstrate good ...
Revise the laws of logarithms in order to solve logarithmic and exponential equations as part of Bitesize Higher Maths ...
The model trained under the CML criterion achieves a relative improvement of 40% in classification accuracy over its ML counterpart [3]. The NB model can also be re-parameterized as a standard ...
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