Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

ABSTRACT Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

About This project performs tweet sentiment or class classification using various machine learning models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees (Gini and ...

Luka Dončić trade: How Mark Cuban was edged out of Mavericks’ decision-making tree ...

The RespiraTox study developed a QSAR method to predict respiratory irritants, significantly contributing to the reduction in animal testing. By comparing several machine learning approaches, the ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Abstract Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

This study used four machine learning strategies, including decision tree, random forest, support vector machine (SVM) and multilayer perceptron (MLP) to predict orthodontic extraction decisions on ...