Results 151 to 160 of about 7,479,809 (288)
Nonparametric Functional Central Limit Theorem for Time Series Regression with Application to Self-normalized Confidence Interval. [PDF]
J Multivar Anal, 2015 Kim S, Zhao Z, Shao X.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variables from a choosen well-behaved distribution and summing them achieving the gaussian distribution, wich is the main result of the central limit theorem ...
Estados Unidos da América. Open Source Physics (OSP)
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Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Advanced Intelligent Discovery, EarlyView.Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
A central limit theorem for integer partitions into small powers. [PDF]
Mon Hefte MathLipnik GF, Madritsch MG, Tichy RF.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley +1 more source
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Advanced Intelligent Discovery, EarlyView.Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
GLOBAL VERSIONS OF THE CENTRAL LIMIT THEOREM [PDF]
Proceedings of the National Academy of Sciences, 1954 openaire +2 more sources
On sample size in using central limit theorem for gamma distribution
, 2010 [[abstract]]A general criterion in using the central limit theorem is based on the sample size n 30, no matter what the population is. Such only one generalized criterion may not be suitable for various shapes of probability distributions.
Chang, Horng-Jinh ; Wu, Chao-Hsien ; Ho, Jow-Fei ; Chen, Po-Yu +1 more
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