Search Result "Regression models"


Logistic Regression

Ebook: Numerical Machine Learning
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136982123010005

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

Linear Regression and Logistic Regression

Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010005

Linear Regression

Ebook: Numerical Machine Learning
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136982123010003

Non-Linear Modeling and Chemical Interpretation with Aid of Support Vector Machine and Regression

Journal: Current Computer-Aided Drug Design
Volume: 6 Issue: 1 Year: 2010 Page: 24-36
Author(s): Kiyoshi Hasegawa, Kimito Funatsu

Research Article

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

Logistic Regression as a Classifier in Health Research

Ebook: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Volume: 1 Year: 2021
Author(s): Halil Ibrahim Keskin
Doi: 10.2174/9781681088716121010007

Research Article

Factors Associated with Women Fertility in Bangladesh: Application onCount Regression Models

Journal: Current Women`s Health Reviews
Volume: 19 Issue: 2 Year: 2023 Page: 26-37
Author(s): Md. Ismail Hossain,Ahmed Abdus Saleh Saleheen,Md. Iqbal Hossain Nayan

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

Concentration Prediction of Dissolved Gases in Transformer Oil by Relevance Vector Regression Algorithm

Journal: Recent Patents on Electrical & Electronic Engineering
Volume: 6 Issue: 1 Year: 2013 Page: 63-67
Author(s): Sheng-wei Fei, Yong He

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