Publications associées à Coefficient de détermination

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources

To overcome the multipath interference in locating transient electromagnetic (EM) radiation sources in an indoor environment, we propose a criterion that calculates the correlation between back-propagated signals from observation points, to be used in EM t ...

2021

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

Zhenzhu Meng, Yating Hu, Chenfei Shao

Both numerical simulations and data-driven methods have been applied in dam's displacement modeling. For monitored displacement data-driven methods, the physical mechanism and structural correlations were rarely discussed. In order to take the spatial and ...

2020

Affine Combination of Diffusion Strategies Over Networks

Ali H. Sayed, Jie Chen

Diffusion adaptation is a powerful strategy for distributed estimation and learning over networks. Motivated by the concept of combining adaptive filters, this work proposes a combination framework that aggregates the operation of multiple diffusion strate ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Nicolas Macris, Florent Gérard Krzakala, Jean François Emmanuel Barbier, Mohamad Baker Dia

We consider the estimation of a signal from the knowledge of its noisy linear random Gaussian projections. A few examples where this problem is relevant are compressed sensing, sparse superposition codes, and code division multiple access. There has been a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Shake Table Blind Prediction Tests: Contributions for Improved Fiber-based Frame Modelling

João Saraiva Esteves Pacheco de Almeida

Distributed plasticity Euler-Bernoulli fiber beams are regularly used by researchers and practitioners to simulate the nonlinear seismic response of reinforced concrete framed structures. This study presents a sensitivity analysis, combining newly proposed ...

2020

Convex Combination of Diffusion Strategies Over Networks

Ali H. Sayed, Jie Chen

Combining diffusion strategies with complementary properties enables enhanced performance when they can be run simultaneously. In this article, we first propose two schemes for the convex combination of two diffusion strategies, namely, the power-normalize ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Valentin Hartmann

We consider the problem of finding an optimal transport plan between an absolutely continuous measure and a finitely supported measure of the same total mass when the transport cost is the unsquared Euclidean distance. We may think of this problem as close ...

SPRINGER HEIDELBERG2020

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Florent Gérard Krzakala, Lenka Zdeborová

We consider a commonly studied supervised classification of a synthetic dataset whose labels are generated by feeding a one-layer non-linear neural network with random iid inputs. We study the generalization performances of standard classifiers in the high ...

Curran Associates, Inc.2020

Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments

Andreas Pautz, Mathieu Hursin, Daniel Jerôme Siefman

Data assimilation methods have recently been implemented in the sensitivity analysis and uncertainty quantification tool SHARK-X. This paper presents how they were used with sensitivity coefficients and randomly-sampled nuclear data to simulate integral pa ...

PERGAMON-ELSEVIER SCIENCE LTD2020

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Coefficient de détermination

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources

Magnitude of gluconeogenesis and endogenous glucose production: are they predictable in clinical settings?

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

Affine Combination of Diffusion Strategies Over Networks

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Shake Table Blind Prediction Tests: Contributions for Improved Fiber-based Frame Modelling

Convex Combination of Diffusion Strategies Over Networks

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments

Graph Chatbot

Chattez avec Graph Search

Affine Combination of Diffusion Strategies Over Networks

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Convex Combination of Diffusion Strategies Over Networks

Magnitude of gluconeogenesis and endogenous glucose production: are they predictable in clinical settings?

Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction

Shake Table Blind Prediction Tests: Contributions for Improved Fiber-based Frame Modelling

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments

A Correlation-Based Electromagnetic Time Reversal Technique to Locate Indoor Transient Radiation Sources

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case