Results 261 to 270 of about 448,585 (316)

Balancing stability and flexibility: investigating a dynamic <i>K</i> value approach for the Elo rating system in adaptive learning environments. [PDF]

User Model User-adapt Interact
Vermeiren H, Hofman AD, Bolsinova M, van der Maas HLJ, Van Den Noortgate W.   +4 more
europepmc   +1 more source

BGSE-RRT*: A Goal-Guided and Multi-Sector Sampling-Expansion Path Planning Algorithm for Complex Environments. [PDF]

Sensors (Basel)
Yue W, Li X, Liu Z, Jiang X, Pan L.
europepmc   +1 more source

GVMD-NLM: A Hybrid Denoising Method for GNSS Buoy Elevation Time Series Using Optimized VMD and Non-Local Means Filtering. [PDF]

Sensors (Basel)
Zhang H, Wang S, Dong C, Xu G, Cai X.
europepmc   +1 more source

On the Selection of the Smoothing Parameter in Poisson Smoothing of Histogram Estimator: Computational Aspects

, 2008
Chaubey, Yogendra P., Sen, Pranab K., Concordia University. Department of Mathematics & Statistics   +2 more
openaire   +1 more source

Smoothing Parameter and Model Selection for General Smooth Models Comment

, 2018
openaire   +1 more source

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Smoothing parameter selection for smoothing splines: a simulation study

Computational Statistics and Data Analysis, 2003
Smoothing splines are a popular method for performing nonparametric regression. Most important in the implementation of this method is the choice of the smoothing parameter. This article provides a simulation study of several smoothing parameter selection methods, including two so-called risk estimation methods.
Thomas C M Lee
exaly   +3 more sources

A note on smoothing parameter selection for penalized spline smoothing

Journal of Statistical Planning and Inference, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. Kauermann
semanticscholar   +3 more sources