Search Result "multiple regression technique"
Linear Regression and Logistic Regression
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010005
Regression: Prediction
Ebook: Machine Learning and Its Application: A Quick Guide for Beginners
Volume: 1 Year: 2021
Author(s): Indranath Chatterjee
Doi: 10.2174/9781681089409121010007
Addressing Data Aggregation Using Polynomial Regression in WSNs
Journal: International Journal of Sensors, Wireless Communications and Control
Volume: 5 Issue: 2 Year: 2015 Page: 114-120
Author(s): Adil Khan,Chandra P. Gupta,Iti Sharma
An Enhanced Multiple Linear Regression Model for Seasonal Rainfall Prediction
Journal: International Journal of Sensors, Wireless Communications and Control
Volume: 10 Issue: 4 Year: 2020 Page: 473-483
Author(s): Pundra Chandra Shaker Reddy,Alladi Sureshbabu
An Intelligent Vehicular Traffic Flow Prediction Model Using Whale Optimization with Multiple Linear Regression
Ebook: Computational Intelligence For Data Analysis
Volume: 1 Year: 2021
Author(s): N. Supriya,E. Laxmi Lydia,Hima Bindu Gogineni
Doi: 10.2174/9781681089430121010003
Data Modeling and Chemical Interpretation of ADME Properties Using Regression and Rule Mining Techniques
Ebook: Frontiers in Drug Design and Discovery
Volume: 4 Year: 2009
Author(s): Kiyoshi Hasegawa,Kimito Funatsu
Doi: 10.2174/978160805202810904010378
Machine Learning Techniques and Drug Design
Journal: Current Medicinal Chemistry
Volume: 19 Issue: 25 Year: 2012 Page: 4289-4297
Author(s): J.C. Gertrudes,V.G. Maltarollo,R.A. Silva,P.R. Oliveira,K.M. Honorio,A.B.F. da Silva
A Multiple Response Function for Optimization of Analytical Strategies Involving Multi-elemental Determination
Journal: Current Analytical Chemistry
Volume: 12 Issue: 2 Year: 2016 Page: 94-101
Author(s):
Hypertensive Left Ventricular Hypertrophy Regression: Does It Matter?
Journal: Current Hypertension Reviews
Volume: 4 Issue: 4 Year: 2008 Page: 275-288
Author(s): Wadih Nadour, Robert W.W. Biederman
Comparative Studies on FDM based AM Process Using Regression Analysis and ANFIS Model
Ebook: Advances in Additive Manufacturing Processes
Volume: 1 Year: 2021
Author(s): P. Thejasree,J.S. Binoj,D. Giridhar,T.T.M. Kannan,D. Arulkirubakaran,D. Palanisamy,N. Manikandan,Ramesh Raju
Doi: 10.2174/9789815036336121010015