Results 81 to 90 of about 52,951 (307)
A sparse kernel density estimation algorithm using forward constrained regression [PDF]
, 2007 Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The leave-one-out (LOO) test score is used for kernel selection.
Hong, X. +3 more
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Advanced Materials, EarlyView.Ball‐milling Cu‐based metallic glasses with ceria creates a unique nanostructure where metallic glass particles are wrapped by CeO2 nanoparticles. The intimate integration triggers copper state reorganization during reaction and aging, boosting CO oxidation and COPrOx activity.
Maahin Mirzay‐Shahim +17 more
wiley +1 more source
Geometric Estimation of Multivariate Dependency
Entropy, 2019 This paper proposes a geometric estimator of dependency between a pair of multivariate random variables. The proposed estimator of dependency is based on a randomly permuted geometric graph (the minimal spanning tree) over the two multivariate samples ...
Salimeh Yasaei Sekeh, Alfred O. Hero
doaj +1 more source
Multivariate and conditional density estimation using local Gaussian approximations [PDF]
, 2016 Paper 1 ”Bias and bandwidth for local likelihood density estimation”: A local likelihood density estimator is shown to have asymptotic bias depending on the dimension of the local parameterization.
Otneim, Håkon
core +1 more source
Advanced Materials, EarlyView.2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil +14 more
wiley +1 more source
Wavelet density estimation for mixing and size-biased data
Journal of Inequalities and Applications, 2018 This paper considers wavelet estimation for a multivariate density function based on mixing and size-biased data. We provide upper bounds for the mean integrated squared error (MISE) of wavelet estimators.
Junke Kou, Huijun Guo
doaj +1 more source
Advanced Materials, EarlyView.Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks +2 more
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