Results 71 to 80 of about 55,553 (309)

Sparse kernel modelling: a unified approach [PDF]

, 2007
A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Improving Radio Source Count Estimation Using Kernel Density Estimation

The Astrophysical Journal
Radio source counts provide a fundamental census of cosmic radio emission, yet their estimation is usually based on coarse histograms that suffer from bin-choice bias, boundary effects, and survey incompleteness.
Luozhenhan Liu, Zunli Yuan, Wenjie Wang, Chuanqi Li   +3 more
doaj   +1 more source

Optimal Bandwidth Selection for Kernel Density Functionals Estimation

Journal of Probability and Statistics, 2015
The choice of bandwidth is crucial to the kernel density estimation (KDE) and kernel based regression. Various bandwidth selection methods for KDE and local least square regression have been developed in the past decade.
Su Chen
doaj   +1 more source

Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors

Econometrics, 2016
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression model with continuous and discrete regressors under an unknown error density.
Xibin Zhang, Maxwell L. King, Han Lin Shang   +2 more
doaj   +1 more source

Combination of 3D and 2D Small and Wide Angle X‐Ray Scattering Imaging Reveals Diminished Bone Quality in the Superior Human Femoral Neck Cortex

Advanced Materials, EarlyView.
Combined 2D and 3D X‐ray scattering imaging is used to analyse nanostructural properties in the inferior and superior cortex of 78 human femoral necks from 44 donors. The methodology allows for increased interpretation of nanostructure in a statistically relevant dataset, revealing nanostructural differences in anatomical locations critical to clinical
Torne Tänzer, Tatiana Kochetkova, Arthur Baroni, Mathieu Simon, Mads Carlsen, Santiago Fernandez Bordin, Manuel Guizar‐Sicairos, Philippe Zysset, Marianne Liebi   +8 more
wiley   +1 more source

A Kernel-Based Calculation of Information on a Metric Space

Entropy, 2013
Kernel density estimation is a technique for approximating probability distributions. Here, it is applied to the calculation of mutual information on a metric space.
Conor J. Houghton, R. Joshua Tobin
doaj   +1 more source

New bandwidth selection for kernel quantile estimators [PDF]

, 2012
Copyright © 2012 Ali Al-Kenani and Keming Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly ...
Al-Kenani, A, Yu, K, Keming Yu, Ali Al-Kenani   +3 more
core   +1 more source

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

Advanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu, Richard Murray, Cara‐Lena Nies, Cathal Larrigy, Martina Piletti, Jahidul Islam, Daniela Iacopino, Eileen Hurley, Michael Nolan, Aidan J. Quinn   +9 more
wiley   +1 more source