Results 111 to 120 of about 7,937,632 (296)
, 2017 U ovom radu se analiziraju osnovni pojmovi iz teorije vjerojatnosti, kao što su vjerojatnosni prostor, slučajna varijabla i Bernoullijeva distribucija, a koji su potrebni za iskazivanje i dokazivanje centralnog graničnog teorema.
Solić, Daria
core +1 more source
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
Advanced Intelligent Discovery, EarlyView.A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
, 2003 The Central Limit Theorem applet demonstrates the central limit theorem using simulated dice-rolling experiments. An "experiment" consists of rolling a certain number of dice (1-5 dice are available in this applet) and adding the number of spots showing.
R. Todd Ogden
core
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
ASYMPTOTIC STATISTICAL PROPERTIES OF THE NEOCLASSICAL OPTIMAL GROWTH MODEL [PDF]
The standard one-sector stochastic optimal growth model is shown to be not just ergodic but geometrically ergodic. In addition, it is proved that the time series generated by the optimal path satisfy the Law of Large Numbers and the Central Limit Theorem.
John Stachurski
core
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
Risk, uncertainty and nonlinear central limit theorems
Risk SciencesThe econometric theory and methods of financial risk are critical technical issues that consistently concern both the economic and mathematical communities.
Zengjing Chen, Xinwei Feng, Hanchao Wang
doaj +1 more source
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
The Emergence of the Normal Distribution in Deterministic Chaotic Maps
EntropyThe central limit theorem states that, in the limits of a large number of terms, an appropriately scaled sum of independent random variables yields another random variable whose probability distribution tends to attain a stable distribution.
Damián H. Zanette, Inés Samengo
doaj +1 more source
A REMARK ON THE CENTRAL LIMIT THEOREM [PDF]
Proceedings of the National Academy of Sciences, 1965 openaire +3 more sources