we first choose the one$\mathbf x_1$that is the closest to the center from$n$instances, and then we choose the one$x_2$that makes the mean of$\mathbf x_1$and$\mathbf x_2$closest to the center. Therefore, the computation complexity is reduced to$\sum_{k=1}^{m}(n-k+1)=\fr...
To train the LOCCNet for simulating\({{{\mathcal{A}}}\), we select a set of linearly independent density matricesSas the training set. The loss function for this channel simulation task is then defined as $$L=-\mathop{\sum}\limits_{\psi \in S}F({{{\mathcal{A}}}(\psi ),{{{...
Stateline then provides the framework for deploying the distributed MCMC computation on a cluster, while allowing the users to focus on computing the posterior density with their own models, languages and environments. If you are already familiar with parallel tempering and adaptive proposals, you may...
BertsekasD.P. et al. Parallel and distributed computation: numerical methods (1997)View more references Cited by (74) Fast generalized Nash equilibrium seeking under partial-decision information 2022, Automatica Show abstract Distributed Nash Equilibrium Seeking in Games With Partial Decision Information...
Our work is to successfully leverage the session mechanism to manage state synchronization and coupling computation across multiple clients. Through the analysis of experimental measurement data, we drew the following important conclusions: 1. We discussed the replication time characteristics and update ...
Given the large use of these processes for the computation of the MPGI matrix, it is convenient to implement them in the ELM algorithm to accelerate the training process. Different authors have reported efficiency improvements in the speedup of the SLE solution using these tools on matrices ...
All activated discrete node positions are added to a point cloud together with a weight derived from the predictor function output. Finally, a weighted centre of mass computation is applied to this point cloud interpolating the damage position. ...
Transfer entropy and Granger causality are equivalent for linearly-coupled Gaussian systems (e.g., Kalman models) [26]; however, there are clear distinctions between the concepts of information transfer and causal effect [27]. Although transfer entropy has received criticism over spuriously identifying...
K Furthermore, the computation of ∂F(q)/∂q(·) = 0 (Assuming that q (Z) = ∏ q(zi)) can be expressed as i=1 q(zj) ∝ exp ln p(Y, Z; θ) i=j , (41) where · i=j denotes an expectation with respect to all factors except q(zj). Next, the approximate posterior...