Search Result "linearregression model"
Establishment and Comparison of Piecewise Linear Regression Models toMeasure Thyroid Volume by 2D and 3D Ultrasound
Journal: Current Medical Imaging
Volume: 20 Issue: 1 Year: 2024 Page: 1-6
Author(s):
An Effective Cumulative Torsion Angles Model for Prediction of Protein Folding Rates
Journal: Protein & Peptide Letters
Volume: 27 Issue: 4 Year: 2020 Page: 321-328
Author(s): Yanru Li,Ying Zhang,Jun Lv
Computational Modeling Methods for QSAR Studies on HIV-1 Integrase Inhibitors (2005-2010)
Journal: Current Computer-Aided Drug Design
Volume: 8 Issue: 4 Year: 2012 Page: 255-270
Author(s): Gene M. Ko,A. Srinivas Reddy,Rajni Garg,Sunil Kumar,Ahmad R. Hadaegh
QSAR Study of Curcumine Derivatives as HIV-1 Integrase Inhibitors
Journal: Current Computer-Aided Drug Design
Volume: 9 Issue: 1 Year: 2013 Page: 141-150
Author(s): Pawan Gupta,Anju Sharma,Prabha Garg,Nilanjan Roy
Chemometric Modeling of 5-Phenylthiophenecarboxylic Acid Derivatives as Anti-Rheumatic Agents
Journal: Current Computer-Aided Drug Design
Volume: 8 Issue: 3 Year: 2012 Page: 182-195
Author(s): Nilanjan Adhikari,Dhritiman Jana,Amit K. Halder,Chanchal Mondal,Milan K. Maiti,Tarun Jha
Linear Regression and Logistic Regression
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010005
COVID-19 Forecasting using Machine Learning Models
Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s): Sumindar Kaur Saini
Doi: 10.2174/9789815036060122010009
Molecular Design and QSARs/QSPRs with Molecular Descriptors Family
Journal: Current Computer-Aided Drug Design
Volume: 9 Issue: 2 Year: 2013 Page: 195-205
Author(s): Sorana D. Bolboaca,Lorentz Jantschi,Mircea V. Diudea
Comparison of Forecasting Models in the HIV Epidemiology Using Machine Learning Methods
Ebook: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Volume: 1 Year: 2021
Author(s): Emine DoÄru Bolat,Murat Sayan,Ãnder Yakut
Doi: 10.2174/9781681088716121010009