Non-smooth optimization algorithm to solve the LINEX soft support vector machine
Abstract The Support Vector Machine (SVM) is a cornerstone of machine learning
algorithms. This paper proposes a novel cost-sensitive model to address the challenges of …
algorithms. This paper proposes a novel cost-sensitive model to address the challenges of …
Improved supervised machine learning for predicting auto insurance purchase patterns
M Nachaoui, F Manlaikhaf… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This manuscript presents a predictive model using supervised machine learning,
highlighting the importance of advanced optimization algorithms. Our approach focuses on a …
highlighting the importance of advanced optimization algorithms. Our approach focuses on a …
Optimization Method for Estimating the Inverse Source Term in Elliptic Equation
In this work, we investigate an inverse source problem for determining the unknown source
term in one and two dimensional space of a linear elliptic equation. First, the inverse …
term in one and two dimensional space of a linear elliptic equation. First, the inverse …
An Improvement to the Nonparametric Regression Models Using the Nonsmooth Loss Functions
S Lyaqini - The International Conference on New Trends in …, 2022 - Springer
This work addresses the supervised learning problem using a smooth and accurate
approximation of the absolute loss function. The supervised learning problem is …
approximation of the absolute loss function. The supervised learning problem is …
Heart Failure Prediction Using Supervised Machine Learning Algorithms
S Lyaqini, M Nachaoui - The International Conference on New Trends in …, 2022 - Springer
The heart is the second most important organ of the human body after the brain, and it
circulates blood and supplies all of the body's organs. Diseases associated with the heart …
circulates blood and supplies all of the body's organs. Diseases associated with the heart …