Results 81 to 90 of about 665,590 (295)
On the Smoothed Minimum Error Entropy Criterion 
Entropy, 2012 Recent studies suggest that the minimum error entropy (MEE) criterion can outperform the traditional mean square error criterion in supervised machine learning, especially in nonlinear and non-Gaussian situations.
Badong Chen, Jose C. Principe
doaj +1 more source
Kernel Smoothing in Quantal Bioassay
Japanese journal of applied statistics, 2003 A nonparametric method for the estimation of effective doses by kernel smoothing is proposed. The estimator of the dose and its asymptotic confidence interval are given. The estimation is based on the asymptotic properties of the proposed kernel estimator of dose response curves.
Okumura, Hidenori, Naito, Kanta
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sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R [PDF]
The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several options for performing kernel density estimation in statistical software packages, there have ...
Tilman M. Davies +2 more
core
Advanced Materials Technologies, EarlyView.A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala +5 more
wiley +1 more source
Integral approximation by kernel smoothing
Bernoulli, 2016 Let $(X_1,\ldots,X_n)$ be an i.i.d. sequence of random variables in $\mathbb{R}^d$, $d\geq 1$. We show that, for any function $φ:\mathbb{R}^d\rightarrow\mathbb{R}$, under regularity conditions, \[n^ {1/2}\Biggl(n^{-1}\sum_{i=1}^n\frac{φ(X_i)}{\widehat{f}^(X_i)}- \int φ(x)\,dx\Biggr)\stackrel{\mathbb{P}}{\longrightarrow}0,\] where $\widehat{f}$ is the ...
Delyon, Bernard, Portier, François
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Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator [PDF]
This note derives the general form of the approximate mean integrated squared error for the q-variate, th-order kernel density r th derivative estimator. This formula allows for normal reference rule-of-thumb bandwidths to be derived.
Christopher F. Parmeter +1 more
core
Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media
Advanced Materials Technologies, EarlyView.Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco +4 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino +3 more
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Modern Stochastics: Theory and ApplicationsThis paper investigates fractional Riesz–Bessel equations with random initial conditions that exhibit either classical or cyclic long-range dependence.
Shahid Khan, Andriy Olenko
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source