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   Articles with "optimal model" as a keyword



Multiple order model migration and optimal model selection for online glucose prediction in Type 1 diabetes

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recommendations! Published in 2018 at "Aiche Journal"

DOI: 10.1002/aic.15983

Abstract: In order to address the problem of insufficient available modelling data for glucose prediction, as well as modelling burden, a model migration method was developed in a previous work to quickly transfer an old model… read more here.

Keywords: model migration; order; multiple order; model ... See more keywords

Dynamic contrast‐enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers

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recommendations! Published in 2019 at "NMR in Biomedicine"

DOI: 10.1002/nbm.4166

Abstract: The purpose of this study was to identify the optimal tracer kinetic model from T1‐weighted dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) data and evaluate whether parameters estimated from the optimal model predict tumor aggressiveness determined… read more here.

Keywords: papillary thyroid; model; dynamic contrast; contrast enhanced ... See more keywords

Optimal model averaging forecasting in high-dimensional survival analysis

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recommendations! Published in 2021 at "International Journal of Forecasting"

DOI: 10.1016/j.ijforecast.2020.12.004

Abstract: Abstract This article considers ultrahigh-dimensional forecasting problems with survival response variables. We propose a two-step model averaging procedure for improving the forecasting accuracy of the true conditional mean of a survival response variable. The first… read more here.

Keywords: survival response; model; optimal model; model averaging ... See more keywords

Optimal model averaging estimator for expectile regressions

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recommendations! Published in 2021 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2021.08.003

Abstract: Abstract In this paper, we consider model averaging for expectile regressions, which are common in many fields. The J -fold cross-validation criterion is developed to determine averaging weights. Under some regularity conditions, we prove that… read more here.

Keywords: averaging estimator; expectile regressions; model averaging; model ... See more keywords

Towards optimal model evaluation: enhancing active testing with actively improved estimators

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-58633-3

Abstract: With rapid advancements in machine learning and statistical models, ensuring the reliability of these models through accurate evaluation has become imperative. Traditional evaluation methods often rely on fully labeled test data, a requirement that is… read more here.

Keywords: active testing; towards optimal; actively improved; optimal model ... See more keywords

Post-averaging inference for optimal model averaging estimator in generalized linear models

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recommendations! Published in 2024 at "Econometric Reviews"

DOI: 10.1080/07474938.2023.2292377

Abstract: Abstract. This article considers the problem of post-averaging inference for optimal model averaging estimators in a generalized linear model (GLM). We establish the asymptotic distributions of optimal model averaging estimators for GLMs. The asymptotic distributions… read more here.

Keywords: model averaging; post averaging; averaging inference; inference optimal ... See more keywords

H2 Optimal Model Order Reduction Over a Finite Time Interval

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recommendations! Published in 2022 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2022.3164036

Abstract: For a time-limited H2 cost function defined over a finite time interval, we obtain analytical expressions of the gradients using a gramian framework. The time-limited H2 optimal model reduction problem is non-convex. In order to… read more here.

Keywords: time; time interval; finite time; optimal model ... See more keywords

An Augmented Lagrangian Method for the Optimal Model Order Reduction Problem

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recommendations! Published in 2017 at "Mathematical Problems in Engineering"

DOI: 10.1155/2017/8230978

Abstract: This paper treats the computational method of the optimal model order reduction (MOR) problem of linear time-invariant (LTI) systems. Optimal solution of MOR problem of LTI systems can be obtained by solving the LMIs feasibility… read more here.

Keywords: method optimal; method; model order; order reduction ... See more keywords

Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study

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recommendations! Published in 2022 at "Journal of Diabetes Research"

DOI: 10.1155/2022/4282953

Abstract: Background To identify an optimal model for diabetic retinopathy (DR) prediction in Chinese rural population by establishing and comparing different algorithms based on the data from Handan Eye Study (HES). Methods Five algorithms, including multivariable… read more here.

Keywords: rural population; diabetic retinopathy; optimal model; prediction ... See more keywords

PANoptosis-Related Optimal Model (PROM): A Novel Prognostic Tool Unveiling Immune Dynamics in Lung Adenocarcinoma

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recommendations! Published in 2025 at "International Journal of Genomics"

DOI: 10.1155/ijog/5595391

Abstract: Background: PANoptosis, a recently characterized inflammatory programmed cell death modality orchestrated by the PANoptosome complex, integrates molecular mechanisms of pyroptosis, apoptosis, and necroptosis. Although this pathway potentially mediates tumor progression, its role in lung adenocarcinoma… read more here.

Keywords: lung adenocarcinoma; panoptosis; optimal model; panoptosis related ... See more keywords

Analytical Design of Optimal Model Predictive Control and Its Application in Small-Scale Helicopters

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recommendations! Published in 2023 at "Mathematics"

DOI: 10.3390/math11081845

Abstract: A new method for controlling the position and speed of a small-scale helicopter based on optimal model predictive control is presented in this paper. In the proposed method, the homotopy perturbation technique is used to… read more here.

Keywords: optimal model; model predictive; predictive control; small scale ... See more keywords