Publications associées à Méthode des moindres carrés

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Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Méthode des moindres carrés

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Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Optimal Sensor Architecture Selection for Health Management of Complex Systems

Controller design and value function approximation for nonlinear dynamical systems

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Estimation Error of the Constrained Lasso

Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Optimal Sensor Architecture Selection for Health Management of Complex Systems

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Controller design and value function approximation for nonlinear dynamical systems

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody

Estimation Error of the Constrained Lasso

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression