Results 111 to 120 of about 73,156 (307)
, 2009 There has been extensive research done in the area of Semiparametric Regression. These techniques deliver substantial improvements over previously developed methods, such as Ordinary Least Squares and Kernel Regression.
Rivers, Derick L.
core +1 more source
Bandwidth choice for density derivative
, 2020 The methods for choosing appropriate bandwidth (smoothing parameter) are important to approximate the regression function to the original function so that the error is as small as possible.
Badr, Duraid Hussein
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Advanced Materials, EarlyView.A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
CoRRBy provisioning inference offloading services, edge inference drives the rapid growth of AI applications at network edge. However, how to reduce the inference latency remains a significant challenge. To address this issue, we develop a parameter-sharing AI model loading (PartialLoading) framework for multi-user edge inference, which exploits two key ...
Guanqiao Qu +4 more
openaire +2 more sources
Gaussian Semiparametric Estimation of Non-stationary Time Series [PDF]
, 1998 Generalizing the definition of the memory parameter d in terms of the differentiated series, we showed in Velasco (Non-stationary log-periodogram regression, Forthcoming J.
Velasco Gómez, Carlos, Velasco, Carlos
core
Bandwidth selection in smoothing functions
, 2007 A simple criterion for selecting a bandwidth parameter that controls the amount of smoothing in functions is described. The procedure is computationally inexpensive and, hence, worth adopting.
Karuku, M +3 more
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A response to “A comment on Geographically weighted regression with parameter-specific distance metrics.” [PDF]
, 2019 In this article, we respond to ‘A comment on geographically weighted regression with parameter-specific distance metrics’ by Oshan et al. (2019), published in this journal, where several concerns on the parameter-specific distance metric geographically ...
Charlton, M. +7 more
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Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
A Single-Point-Fed Wideband Circularly Polarized Rectangular Dielectric Resonator Antenna
International Journal of Antennas and Propagation, 2016 A single-point-fed circularly polarized (CP) rectangular dielectric resonator antenna (DRA) with wide CP bandwidth is presented. By using TE111 and TE113 modes of the rectangular DRA, a wideband CP performance is achieved.
Deqiang Yang, Meng Zou, Jin Pan
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source