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et al. Multilevel models improve precision and speed of ic50 estimates. Pharmacogenomics 17(7), 691–700 (2016). Article CAS PubMed Google Scholar Takeuchi, I., Le, Q., Sears, T., Smola, A., et al. Nonparametric quantile estimation (2006) Koenker, R. Quantile Regression (Cambridge ...
Multiple performance metrics have revealed that the WNN models perform similar or better than multisite DO prediction models published in the literature, while using two to four times less inputs and data patterns.doi:10.1007/s00521-019-04079-yAntanasijević, Davor...
To address this problem, this work proposes and evaluates a method for action identification in videos through a new descriptor composed of autonomous fragments applied to a multilevel prediction scheme. The method is very fast and achieves over 90 % of accuracy in known public data sets. The ...
while predictive models may enhance state power through criminal surveillance, they also enable surveillance of the state by tracing systemic biases in crime enforcement. We introduce a stochastic inference algorithm that forecasts crime by learning spatio-temporal dependencies from event reports, with a ...
The application of SolventPro together with the NRTL segment activity coefficient (NRTL-SAC) and the perturbed-chain statistical associating fluid theory (PC-SAFT) models for solubility predictions, multilevel property estimation, and solution of pharmaceutical industry problems is highlighted....
Hall D B,Bailey R L.Modeling and prediction of forest growthvariables based on multilevel nonlinear mixed models. Forensic Science . 2001Hall, D. B., and R. L. Bailey. 2001. Modeling and prediction of forest growth variables based on multilevel nonlinear mixed models. Forest Science 47: ...
The model was compared with previous baseline models and ablation experiments by dissecting its architecture. Conclusion In this study, we introduced IICL, a multilevel multitask learning model that integrates both supervised and semi-supervised learning techniques. Our approach systematically harnesses the...
This study investigates the prediction of defects in switches within a 13-level multilevel inverter using four machine learning models. Our investigation demonstrates that the Support Vector Machine (SVM) model surpasses other models with a remarkable accuracy rate of 96.56%. The abstract outlines the...
Rights JD, Sterba SK (2019) Quantifying explained variance in multilevel models: an integrative framework for defining R-squared measures. Psychol Methods 24(3):309–338 Article Google Scholar Rimi RH, Rahman SH, Abedin MZ (2009) Recent climate change trend analysis and future prediction at Sa...