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In particular, we design two methods based on the so-called Gibbs sampler that allow also to estimate the kernel hyperparameters by marginal likelihood maximization via the expectation maximization method.
This paper investigated throughput maximization via optimal UAV positioning.
The sum rate maximization via PF-root optimization in Algorithm 1 identifies with more accuracy which link must relax its target, which results in an extra gain of 0.73 bps/Hz compared to the other approaches.
The majority of all the relevant works regarding the radio resource management have concentrated on power control and/or sum rate maximization via centrally imposed pricing for interference mitigation, thus failing to provide satisfactory data rates for each individual user and to recognize the high variability among the users' service requirements.
The adjustment of an optical spacer thickness leads to the redistribution of optical intensity of light across the photoactive layer, enabling the maximization of the optical intensity for light absorption maximization, via controlling optical interference between the forward and backward light within the active layer.
A simpler implementation based on direct likelihood maximization via general-purpose numerical optimization algorithms was also considered and found slightly less powerful.
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The Infomax algorithm maximizes the information transferred from inputs through a non-linear neural network transfer function whereas the Fast ICA algorithm maximizes independence among estimated ICs, which is achieved via maximization of negentropy, a measure of deviation from Gaussian distributions.
The Bayesian Ying Yang (BYY) harmony learning theory has brought about a new mechanism that model selection on Gaussian mixture can be made automatically during parameter learning via maximization of a harmony function on finite mixture defined through a specific bidirectional architecture (BI-architecture) of the BYY learning system.
In [24], only the steering vector of the desired signal over the auxiliary array was estimated via maximization output criterion combined with subspace projection.
where C i = β - 1 I + Φ i Σ 0 Φ i T. Maximizing L β,γ,B) would yield the estimates of the sharing parameters β,γ and B. We shall adopt the approach used in[14] to identify γ via the bound-optimization method, and find β and B via expectation maximization (EM).
Within a column, the nodes are connected in a linear chain (i.e. each node has exactly 1 or 2 neighbors within the column), with the order of the chain chosen so as to maximize the total mutual information between all adjacent pairs in the chain; this maximization was carried out via a standard traveling-salesman heuristic in Matlab.
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