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Recent advances in VB algorithmics are used to improve the convergence of the algorithm beyond the standard Variational Bayes Expectation Maximization algorithm.
The convergence of the algorithm is proved.
The convergence of the algorithm is guaranteed.
The convergence of the algorithm has been proved.
The convergence of the algorithm is also proven.
The convergence of the algorithm will be proven under the game theory framework.
The convergence of the algorithm is established under a persistent excitation condition.
The convergence of the algorithm is proved for communication networks with bounded delays.
A necessary and sufficient condition guaranteeing the convergence of the algorithm is established.
We prove that this modification does not destroy the convergence of the algorithm.
Numerical results show that for fixed wave number, the convergence of the algorithm is mesh independent.
More suggestions(16)
the complexity of the algorithm
the distribution of the algorithm
the tolerance of the algorithm
the definition of the algorithm
the stability of the algorithm
the tyranny of the algorithm
the capability of the algorithm
the accuracy of the algorithm
the performance of the algorithm
the execution of the algorithm
the synoptic of the algorithm
the effectiveness of the algorithm
the correctness of the algorithm
the proof of the algorithm
the optimality of the algorithm
the efficiency of the algorithm
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