GitHub

Logistic-Regression-From-Scratch-with-L2-Regularization

It’s a classification algorithm, that is used where the response variable is categorical. The idea of Logistic Regression is to find a relationship between features and probability of particular ...
Frontiers

Monitoring pilots’ mental workload in real flight conditions using multinomial logistic regression with a ridge estimator

Piloting an aircraft is a cognitive task that requires continuous verbal, visual, and auditory attentions (e.g., Air Traffic Control Communication). An increase or decrease in mental workload from a ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
IEEE

Unlocking Nutritional Insights: Exploring Meal Analysis for Enhanced Dietary Choices with Multinomial Logistic Regression

Abstract: This study explores the application of Multinomial Logistic Regression (MLR) in analyzing meal compositions to facilitate improved dietary choices. With the escalating prevalence of ...