بدائل البحث:
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
were optimization » before optimization (توسيع البحث), swarm optimization (توسيع البحث), whale optimization (توسيع البحث)
base estimation » based estimation (توسيع البحث), pose estimation (توسيع البحث), age estimation (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data base » data based (توسيع البحث), data bank (توسيع البحث)
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
were optimization » before optimization (توسيع البحث), swarm optimization (توسيع البحث), whale optimization (توسيع البحث)
base estimation » based estimation (توسيع البحث), pose estimation (توسيع البحث), age estimation (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data base » data based (توسيع البحث), data bank (توسيع البحث)
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Joint modelling of longitudinal binary data and survival data
منشور في 2019"…This paper proposes the joint likelihood approach for modelling survival and longitudinal binary covariates simultaneously. Because some unobservable information is present in the model, the Monte Carlo EM algorithm and Metropolis-Hastings algorithm are used to find the estimators. …"
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
منشور في 2019"…Binary mixtures of bacteria showed all three reliably identified organisms down to 1% relative abundance, while only the relative abundance estimates of Centrifuge and CLARK were accurate. …"
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Data_Sheet_1_Claims-based algorithm to estimate the Expanded Disability Status Scale for multiple sclerosis in a German health insurance fund: a validation study using patient medi...
منشور في 2023"…We used 69 MS-related diagnostic indicators recorded with ICD-10-GM codes within 3 months before and after recorded true EDSS measures to estimate a claims-based EDSS proxy (pEDSS). Predictive performance of the pEDSS was assessed as an eight-fold (EDSS 1.0–7.0, ≥8.0), three-fold (EDSS 1.0–3.0, 4.0–5.0, ≥6.0), and binary classifier (EDSS <6.0, ≥6.0). …"
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
منشور في 2022"…In this study, the effects of CI and data scarcity (DS) on the performance of binary classification models were investigated using ToxCast bioassay data. …"
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A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …"
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Determination of the Solute Content and Volumetric Properties of Binary Ionic Liquid Mixtures Using a Global Regularity of Molar Volume Expansion
منشور في 2021"…For instance, the water content, which is of great significance in IL studies, can easily be estimated using the proposed algorithm. By doing so, an overall AARD of 3.47% was obtained for the estimation of the water content of 68 binary systems. …"
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Datasets and their properties.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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Parameter settings.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
منشور في 2021"…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …"
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Flow diagram of the proposed model.
منشور في 2025"…Clinical, demographic, and supplement variables were preprocessed into 21 predictors. Four algorithms (K-Nearest Neighbors, Classification and Regression Tree, Support Vector Machine, and Random Forest) were implemented alongside their LR–ABC hybrid counterparts. …"
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Ultimate Pólya Gamma Samplers–Efficient MCMC for Possibly Imbalanced Binary and Categorical Data
منشور في 2023"…However, sampling efficiency may still be an issue in these data augmentation based estimation frameworks. To counteract this, novel marginal data augmentation strategies are developed and discussed in detail. …"
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Homogeneity and Structure Identification in Semiparametric Factor Models
منشور في 2020"…In addition, a binary segmentation based algorithm is also developed to identify the homogeneous groups in loading parameters, producing more efficient estimation by pooling information across units within the same group. …"
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