Results 11 to 20 of about 2,215,776 (276)
IEEE Access, 2022 This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on function point analysis.
Huynh Thai Hoc +3 more
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Chemometric analysis of metal contents in different types of chocolates [PDF]
Acta Periodica Technologica, 2014 The relationships between the contents of various metals (Cu, Ni, Pb and Al) in 38 different milk chocolate samples were studied using a chemometric approach.
Jevrić Lidija R. +3 more
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a multiple linear regression model [PDF]
, 2015 The link between the indices of twelve atmospheric teleconnection patterns (mostly Northern Hemispheric) and gridded European temperature data is investigated by means of multiple linear regression models for each grid cell and month.
Bissolli, Peter +3 more
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Building a Multiple Linear Regression Model With LEGO Brick Data
Journal of Statistics and Data Science Education, 2021 We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
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Rapid Estimation of Battery Storage Capacity through Multiple Linear Regression
Batteries, 2023 Due to global warming issues, the rapid growth of electric vehicle sales is fully expected to result in a dramatic increase in returned batteries after the first use.
Chulwon Jung, Woongchul Choi
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An Application of Fuzzy Multiple Linear Regression in Biological Paradigm
Complexity, 2022 The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables.
Saima Mustafa +6 more
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Financial Data Quality Evaluation Method Based on Multiple Linear Regression
Future Internet, 2023 With the rapid growth of customer data in financial institutions, such as trusts, issues of data quality have become increasingly prominent. The main challenge lies in constructing an effective evaluation method that ensures accurate and efficient ...
Meng Li, Jiqiang Liu, Yeping Yang
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Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore +17 more
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Quantum Circuit Design Methodology for Multiple Linear Regression
, 2020 Multiple linear regression assumes an imperative role in supervised machine learning. In 2009, Harrow et al. [Phys. Rev. Lett. 103, 150502 (2009)] showed that their HHL algorithm can be used to sample the solution of a linear system $\mathbf{Ax=b ...
Behera, Bikash K. +5 more
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Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital [PDF]
, 2015 Fuzzy linear regression analysis has become popular among researchers and standard model in analysing data vagueness phenomena. These models were represented by five statistical models such as multiple linear regression, fuzzy linear regression (Tanaka),
Ahmad Hilmi Azman +7 more
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