Suchergebnisse - Weighted expectation minimization algorithm

Iterative Double Laplacian-Scaled Low-Rank Optimization for Under-Sampled and Noisy Signal Recovery von Zhao, Qiang, Du, Qizhen, Sun, Wenhan, Chen, Yangkang

“… Recovering signal from under-sampled and erratic noise-corrupted seismic data is indeed a challenging task because of its difficulty in simultaneous modeling …”
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Efficient MU-MIMO Beamforming Based on Majorization-Minimization and Deep Unfolding von Xu, Qian, Sun, Jianyong, Xu, Zongben

“… ) for wireless communication, beamforming design is a must. In this paper, three algorithms are progressively developed for the maximization of the weighted sum-rate (WSR) problem …”
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Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms von Ba, Demba, Babadi, Behtash, Purdon, Patrick L., Brown, Emery N.

“… ) algorithms and their utility in sparse signal recovery in the presence of noise. We demonstrate a one-to-one correspondence between the IRLS algorithms and a class of Expectation-Maximization (EM …”
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A heuristic task scheduling algorithm in cloud computing environment: an overall cost minimization approach von Boroumand, Ali, Hosseini Shirvani, Mirsaeid, Motameni, Homayun

“… With the advancement of the cloud computing environment, the users’ expectations to gain better services significantly increased …”
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On weighting clustering von Nock, R., Nielsen, F.

“… The motivations come principally from an analogy with powerful supervised classification methods known as boosting algorithms …”
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Mixed effect modelling and variable selection for quantile regression von Bar, Haim, Booth, James G, Wells, Martin T

“… It is known that the estimating equations for quantile regression (QR) can be solved using an EM algorithm in which the M-step is computed via weighted least …”
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Stochastic Successive Weighted Sum-Rate Maximization for Multiuser MIMO Systems with Finite-Alphabet Inputs von Guan, Xin, Zhao, Xiaotong, Shi, Qingjiang

“… Weighted sum-rate maximization (WSRM) is a fundamental problem for multiuser multiple-input-multiple-output (MU- MIMO …”
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Adaptive Algorithm for Finding Connected Dominating Sets in Uncertain Graphs von Fukunaga, Takuro

“… is active or inactive, and we seek a CDS of the graph that consists of the active nodes. We consider an adaptive algorithm for this problem, which repeat choosing nodes …”
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Expectation-maximization alternating least squares for tensor network logistic regression von Yamauchi, Naoya, Hontani, Hidekata, Yokota, Tatsuya

“… In this study, we propose a novel optimization algorithm for learning TN classifiers by using alternating least square (ALS) algorithm …”
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Carbon-Aware Energy Cost Minimization for Distributed Internet Data Centers in Smart Microgrids von Yu, Liang, Jiang, Tao, Cao, Yang, Qi, Qi

“… ) are random, we formulate the above-mentioned problem as a stochastic program to minimize the time-averaged expectation of the weighted summation of energy cost and carbon emission with guaranteed …”
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Submodularity of Distributed Join Computation von Li, Rundong, Riedewald, Mirek, Deng, Xinyan

“… For random load assignment, e.g., using a hash function, fine-grained partitioning creates a tradeoff between load expectation and variance …”
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On the Complexity of Equivalence and Minimisation for Q-weighted Automata von Kiefer, Stefan, Murawski, Andrzej, Ouaknine, Joel, Wachter, Bjoern, Worrell, James

“… This paper is concerned with the computational complexity of equivalence and minimisation for automata with transition weights in the field Q of rational numbers …”
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Analytical probabilistic modeling of RBE-weighted dose for ion therapy von Wieser, H P, Hennig, P, Wahl, N, Bangert, M

“… In particular, we derive analytical forms for the nonlinear computations of the expectation value and variance of the RBE-weighted dose …”
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Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors von Giri, Ritwik, Rao, Bhaskar D.

“… We introduce a generalized scale mixture framework, and provide connections with well known norm minimization based SSR algorithms …”
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Recursive online EM estimation of mixture autoregressions von Aknouche, Abdelhakim

“… This paper develops a recursive expectation-maximization (REM) algorithm for estimating a mixture autoregression (MAR …”
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Probabilistic Contrastive Test-Time Adaptation von You, Linjing, Lu, Jiabao, Huang, Xiayuan

“… Recent advances in TTA leverage some techniques such as contrastive learning and entropy minimization to improve the discriminability and robustness of models in target domains …”
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FASIMU: flexible software for flux-balance computation series in large metabolic networks von Hoppe, Andreas, Hoffmann, Sabrina, Gerasch, Andreas, Gille, Christoph, Holzhütter, Hermann-Georg

“… of (i) weighted flux minimization, (ii) fitness maximization for partially inhibited enzymes, and (iii) of the concentration-based thermodynamic feasibility constraint …”
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Convergence and Stability of a Class of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise von Babadi, Behtash, Ba, Demba, Purdon, Patrick L, Brown, Emery N

“… ) algorithms for sparse signal recovery in the presence of noise. We demonstrate a one-to-one correspondence between this class of algorithms and a class of Expectation-Maximization (EM …”
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Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates von Wu, Hui, Li, Yan-Fu

“… We propose a probabilistic model for clustering spatially correlated functional data with multiple scalar covariates. The motivating application is to …”
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An empirical Bayesian solution to the source reconstruction problem in EEG von Phillips, Christophe, Mattout, Jeremie, Rugg, Michael D., Maquet, Pierre, Friston, Karl J.

“… In a Bayesian framework, the conditional expectation of the source distribution, given the data, is attained by carefully balancing the minimisation of the residuals induced by noise …”
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