Results 91 to 100 of about 793,110 (397)
Extrapolation of Vector valued Rearrangement Operators II [PDF]
, 2009 We determine the extrapolation law for rearrangement operators of the Haar system on vector valued Hardy spaces.
arxiv +1 more source
Advanced Biology, EarlyView.Chromatin, which organizes DNA, changes its structure to adapt to stress like high oxygen levels (hyperoxia), which can damage cells. Researchers developed a technique to observe these changes and found variability in how different parts of chromatin remodel.
Lauren Monroe +4 more
wiley +1 more source
Ecology and Evolution, 2021 Transferability of habitat suitability models (HSMs), essential to accurately predict outside calibration conditions, has been seldom investigated at intraspecific level.
Francesco Cerasoli +5 more
doaj +1 more source
Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils
Remote Sensing, 2023 Precise knowledge about the soil organic carbon (SOC) content in cropland soils is one requirement to design and execute effective climate and food policies.
Tom Broeg +5 more
doaj +1 more source
Extrapolation of Vector valued Rearrangement Operators [PDF]
, 2009 We study the extrapolation properties of vector valued rearrangement operators acting on the normalized Haar basis in $L^p_X .$
arxiv +1 more source
Non-parametric Bayesian approach to extrapolation problems in configuration interaction methods [PDF]
Phys. Rev. C 102, 024305 (2020), 2019 We propose a non-parametric extrapolation method based on constrained Gaussian processes for configuration interaction methods. Our method has many advantages: (i) applicability to small data sets such as results of {\it ab initio} methods, (ii) flexibility to incorporate constraints, which are guided by physics, into the extrapolation model, (iii ...
arxiv +1 more source
Advanced Biology, EarlyView.The manuscript examines preclinical murine and human models to study polycystic ovary syndrome (PCOS), delving into the cellular and molecular mechanisms underlying altered ovarian follicular dynamics. It explores the cellular interactions involved in normal and PCOS ovaries and outlines the current and novel strategies in the search for preclinical ...
Arturo Bevilacqua +5 more
wiley +1 more source
Integrating Interpolation and Extrapolation: A Hybrid Predictive Framework for Supervised Learning
Applied SciencesIn the domain of supervised learning, interpolation and extrapolation serve as crucial methodologies for predicting data points within and beyond the confines of a given dataset, respectively. The efficacy of these methods is closely linked to the nature
Bo Jiang +4 more
doaj +1 more source
Metals, 2023 In the present work, a critical analysis of the most-commonly used analytical models and recently introduced ANN-based models was performed to evaluate their predictive accuracy within and outside the experimental interval used to generate them. The high-
Pierre Tize Mha +4 more
doaj +1 more source
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM
Computational Intelligence and Neuroscience, 2017 Class imbalance ubiquitously exists in real life, which has attracted much interest from various domains. Direct learning from imbalanced dataset may pose unsatisfying results overfocusing on the accuracy of identification and deriving a suboptimal model.
Qi Wang +4 more
semanticscholar +1 more source