Results 51 to 60 of about 425,331 (287)
Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model
Journal of Applied Mathematics, 2014 We consider two kinds of weighted mixed almost unbiased estimators in a linear stochastic restricted regression model when the prior information and the sample information are not equally important.
Chaolin Liu +3 more
doaj +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent [PDF]
, 2014 We propose a new two stage algorithm LING for large scale regression problems. LING has the same risk as the well known Ridge Regression under the fixed design setting and can be computed much faster. Our experiments have shown that LING performs well in
Foster, Dean P., Lu, Yichao
core
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Scientific Reports, 2022 Describing the material flow stress and the associated uncertainty is essential for the plastic stochastic structural analysis. In this context, a data-driven approach-heteroscedastic sparse Gaussian process regression (HSGPR) with enhanced efficiency is
Baixi Chen, Luming Shen, Hao Zhang
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Semiparametric linear regression with censored data and stochastic regressors [PDF]
, 1994 We propose three new estimation procedures in the linear regression model with randomly-right censored data when the distribution function of the error term is unspecified, regressors are stochastic and the distribution function of the censoring variable
Mora, Juan
core +1 more source
Conditional least squares estimation in nonstationary nonlinear stochastic regression models
, 2010 Let $\{Z_n\}$ be a real nonstationary stochastic process such that $E(Z_n|{\mathcaligr F}_{n-1})\stackrel{\mathrm{a.s.}}{
Jacob, Christine
core +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Next‐Generation Psoriasis Therapy – With advanced dendrimer‐based formulations, this study paves the way for highly effective, skin‐permeable treatments. Encapsulated in fluid catanionic vesicles, IMD‐006 and its analogues show promising anti‐psoriatic effects offering a targeted, non‐invasive approach to managing chronic skin inflammation.
Ranime Jebbawi +10 more
wiley +1 more source
Around the Probability Distribution of The Estimated Random Ridge Factor with Stochastic Prior Information [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, The probability distribution of the estimated stochastic ridge factor has been found, which has been developed by adding prior information to the sample information.
doaj +1 more source