Results 11 to 20 of about 533,825 (262)

Model Selection and Error Estimation [PDF]

open access: yesMachine Learning, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peter L. Bartlett   +2 more
openaire   +6 more sources

Estimation error of the constrained lasso [PDF]

open access: yes2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016
This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (n ≪ p) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse (e.g., when it is weakly sparse), and shows explicitly the effect of ...
Nissim Zerbib   +3 more
openaire   +3 more sources

Sampled-Data Fuzzy Fault Estimation Observer Design for Nonlinear Systems

open access: yesIEEE Access, 2023
In this study, a sampled-data fuzzy fault estimation observer design problem is considered for nonlinear systems. The main idea of this study is to solve the sampled-data output problem by using two approaches of approximate discretization and exact ...
Geun Bum Koo
doaj   +1 more source

Accurate Frequency Estimation of a Real Sinusoid by Three New Interpolators

open access: yesIEEE Access, 2019
Interpolators are widely employed in the frequency estimation of sinusoidal signals. However, for a real-valued sinusoidal signal, the existing interpolators do not consider the negative frequency component, which leads to a frequency estimation error ...
Guo Bai   +4 more
doaj   +1 more source

Pauli error estimation via Population Recovery [PDF]

open access: yesQuantum, 2021
Motivated by estimation of quantum noise models, we study the problem of learning a Pauli channel, or more generally the Pauli error rates of an arbitrary channel.
Steven T. Flammia, Ryan O'Donnell
doaj   +1 more source

Target Matrix Estimators in Risk-Based Portfolios

open access: yesRisks, 2018
Portfolio weights solely based on risk avoid estimation errors from the sample mean, but they are still affected from the misspecification in the sample covariance matrix.
Marco Neffelli
doaj   +1 more source

Non-Destructive Post-Harvest Tomato Mass Estimation Model Based on Its Area via Computer Vision and Error Minimization Approaches

open access: yesIEEE Access, 2022
Tomato commercialization in Mexican and Latin-American markets is economically affected by three main physical aspects of the fruit: ripening time, size, and mass. Digital image processing combined with mathematical models and machine learning approaches
F. J. Bucio   +5 more
doaj   +1 more source

Modeling the Accuracy of Estimating a Neighbor’s Evolving Position in VANET

open access: yesApplied Sciences, 2020
Accurate estimation of a neighbor’s evolving position is essential to enhancing safety in intelligent transport systems. A vehicle can estimate a neighbor’s evolving position via periodic beaconing wherein each vehicle periodically broadcasts a beacon ...
Jae-Han Lim, Eun-Kyu Lee
doaj   +1 more source

Blockchain-Based Software Effort Estimation: An Empirical Study

open access: yesIEEE Access, 2022
Context: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control ...
Mansoor Ahmed   +6 more
doaj   +1 more source

Linear Computation Coding: A Framework for Joint Quantization and Computing

open access: yesAlgorithms, 2022
Here we introduce the new concept of computation coding. Similar to how rate-distortion theory is concerned with the lossy compression of data, computation coding deals with the lossy computation of functions.
Ralf Reiner Müller   +2 more
doaj   +1 more source

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