Results 21 to 30 of about 5,366,983 (311)
Energy, 2021 Adaptive extended Kalman filter (AEKF) is widely used for lithium-ion battery (LIBs) state of charge (SOC) estimation. Innovation covariance matrix (ICM) of AEKF is estimated by fixed-length error innovation sequence (EIS) (the difference between ...
Daoming Sun +7 more
semanticscholar +1 more source
Active Adaptive Estimation and Control for Vehicle Suspensions With Prescribed Performance
IEEE Transactions on Control Systems Technology, 2018 This paper proposes an adaptive control for vehicle active suspensions with unknown nonlinearities (e.g., nonlinear springs and piecewise dampers). A prescribed performance function that characterizes the convergence rate, maximum overshoot, and steady ...
J. Na +5 more
semanticscholar +1 more source
The Annals of Statistics, 1982 We simplify a general heuristic necessary condition of Stein's for adaptive estimation of a Euclidean parameter in the presence of an infinite dimensional shape nuisance parameter and other Euclidean nuisance parameters. We derive sufficient conditions and apply them in the construction of adaptive estimates for the parameters of linear models and ...
openaire +2 more sources
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation [PDF]
AAAI Conference on Artificial Intelligence, 2020 Human gaze is essential for various appealing applications. Aiming at more accurate gaze estimation, a series of recent works propose to utilize face and eye images simultaneously.
Yihua Cheng +4 more
semanticscholar +1 more source
Recursive least-squares adaptive channel estimation for spatial modulation systems
, 2009 In this paper, a recursive least-squares (RLS) adaptive channel estimation scheme is applied for spatial modulation (SM) system over a block fading multiple-input-multiple-output (MIMO) channel.
Zerguine, A. +2 more
core +1 more source
Adaptive Estimation of Nonparametric Functionals
J. Mach. Learn. Res., 2016 We provide general adaptive upper bounds for estimating nonparametric functionals based on second order U-statistics arising from finite dimensional approximation of the infinite dimensional models. We then provide examples of functionals for which the theory produces rate optimally matching adaptive upper and lower bounds.
Lin Liu +3 more
openaire +4 more sources
Adaptive estimation of high-dimensional signal-to-noise ratios [PDF]
Bernoulli, 2016 We consider the equivalent problems of estimating the residual variance, the proportion of explained variance $\eta$ and the signal strength in a high-dimensional linear regression model with Gaussian random design. Our aim is to understand the impact of
N. Verzelen, E. Gassiat
semanticscholar +1 more source
Adaptive Linear Estimating Equations
Advances in Neural Information Processing Systems 36, 2023 Paper is accepted at NeurIPS ...
Mufang Ying +2 more
openaire +3 more sources
Error estimation and adaptive mesh refinement for aerodynamic flows [PDF]
, 2010 We consider the adjoint-based error estimation and goal-oriented mesh refinement for single and multiple aerodynamic force coefficients as well as residual-based mesh refinement applied to various three-dimensional laminar and turbulent aerodynamic test ...
Ralf Hartmann +7 more
core +1 more source
On the distribution of the adaptive LASSO estimator [PDF]
Journal of Statistical Planning and Inference, 2009 We study the distribution of the adaptive LASSO estimator (Zou (2006)) in finite samples as well as in the large-sample limit. The large-sample distributions are derived both for the case where the adaptive LASSO estimator is tuned to perform conservative model selection as well as for the case where the tuning results in consistent model selection. We
Pötscher, Benedikt M. +1 more
openaire +5 more sources