Results 71 to 80 of about 78,334 (302)
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
V-Spline: An Adaptive Smoothing Spline for Trajectory Reconstruction
Sensors, 2021 Trajectory reconstruction is the process of inferring the path of a moving object between successive observations. In this paper, we propose a smoothing spline—which we name the V-spline—that incorporates position and velocity information and a penalty ...
Zhanglong Cao +4 more
doaj +1 more source
Modelling and Smoothing Parameter Estimation With Multiple Quadratic Penalties [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary Penalized likelihood methods provide a range of practical modelling tools, including spline smoothing, generalized additive models and variants of ridge regression. Selecting the correct weights for penalties is a critical part of using these methods and in the single-penalty case the analyst has several well-founded techniques ...
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Designing penalty functions in high dimensional problems: The role of tuning parameters [PDF]
, 2016 Various forms of penalty functions have been developed for regularized estimation and variable selection. Screening approaches are often used to reduce the number of covariate before penalized estimation.
Sun, Wei +2 more
core +2 more sources
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
Advanced Engineering Materials, EarlyView.The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Cavitation Diagnostics Based on Self-Tuning VMD for Fluid Machinery with Low-SNR Conditions
Chinese Journal of Mechanical Engineering, 2023 Variational mode decomposition (VMD) is a suitable tool for processing cavitation-induced vibration signals and is greatly affected by two parameters: the decomposed number K and penalty factor α under strong noise interference. To solve this issue, this
Hao Liu +3 more
doaj +1 more source
Bias reduction in the logistic model parameters with the LogF(1,1) penalty under MAR assumption
Frontiers in Applied Mathematics and Statistics, 2022 In this paper, we present a novel validated penalization method for bias reduction to estimate parameters for the logistic model when data are missing at random (MAR).
Muna Al-Shaaibi +3 more
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
HYBRID-BASED DENSE STEREO MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Stereo matching generating accurate and dense disparity maps is an indispensable technique for 3D exploitation of imagery in the fields of Computer vision and Photogrammetry.
T. Y. Chuang, H. W. Ting, J. J. Jaw
doaj +1 more source
ANALYSIS OF PENALTY PARAMETERS IN BINARY CONSTRAINED EXTREMUM PROBLEMS
Taiwanese Journal of Mathematics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoni, Carla, Pedrazzoli, Mario
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