Results 21 to 30 of about 1,032,480 (246)
Remote Sensing, 2020 The choice of an appropriate metric is mandatory to perform deformation analysis between two point clouds (PC)—the distance has to be trustworthy and, simultaneously, robust against measurement noise, which may be correlated and heteroscedastic ...
Gaël Kermarrec +2 more
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Active learning in heteroscedastic noise
Theoretical Computer Science, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
András Antos +2 more
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Design and Implementation of a Machine Learning State Estimation Model for Unobservable Microgrids
IEEE Access, 2022 An observable microgrid may become unobservable when sensors are at fault, sensor data is missing, or data has been tampered by malicious agents.
Byron Alejandro Acuna Acurio +4 more
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Non‐parametric Analysis of Covariance – The Case of Inhomogeneous and Heteroscedastic Noise [PDF]
Scandinavian Journal of Statistics, 2006 Abstract. The purpose of this paper was to propose a procedure for testing the equality of several regression curvesfiin non‐parametric regression models when the noise is inhomogeneous and heteroscedastic, i.e. when the variances depend on the regressor and may vary between groups.
Scholz, Achim +2 more
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Unimodal Maps Perturbed by Heteroscedastic Noise: An Application to a Financial Systems
Journal of Statistical Physics, 2023 AbstractWe investigate and prove the mathematical properties of a general class of one-dimensional unimodal smooth maps perturbed with a heteroscedastic noise. Specifically, we investigate the stability of the associated Markov chain, show the weak convergence of the unique stationary measure to the invariant measure of the map, and show that the ...
Lillo, Fabrizio +4 more
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Corn plants as temporary acoustic barrier to limit the effects of noise pollution
, 2021 Corn is a cereal imported into Europe from the Americas. It is used for human and animal feed, but there are also industrial uses such as the production of ethanol, of fuel for heating homes, or the production of starch. Corn grows in the summer in areas
Ciaburro G. +2 more
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application
IEEE Access, 2022 The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex quadratic programming problem into two small convex quadratic
Shiguang Zhang +3 more
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Sensors, 2019 Uncertainty in sensor data complicates the construction of baseline models for the measurement and forecasting (M&F) of high-speed rail (HSR) track slab deformation.
Qi-Ang Wang, Yi-Qing Ni
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Multiobjective Ranking and Selection with Correlation and Heteroscedastic Noise
2019 Winter Simulation Conference (WSC), 2019 We consider multi-objective ranking and selection problems with heteroscedastic noise and correlation between the mean values of alternatives. From a Bayesian perspective, we propose a sequential sampling technique that uses a combination of screening, stochastic kriging metamodels, and hypervolume estimates to decide how to allocate samples. Empirical
Sebastian Rojas-Gonzalez +2 more
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Noise: towards a definition [PDF]
The research aims to explore the perceptual affects of noise on the relationship between performers, their instruments and listeners. The portfolio of compositions and accompanying thesis demonstrates the results of this treatment of sound and space ...
Riley, Thomas Richard
core +3 more sources