-- Decision Tree Learning -- Part IV Understanding Scaling-Up Machine Learning -- Random Forest Learning -- Deep Learning Models …This book presents machine learning models and algorithms to address big data classification problems. Existing machine … readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the …

. This article is devoted to a new approach for combating plagiarism named MML (Multi-agents Machine learning system) and is …

This research study employed a machine learning algorithm on actual patient data to extract decision making rules that …

of the ZatLab Framework and results obtained by its Machine Learning (ML) algorithms. One will provide a brief review the …

Knowledge learning is the sixth and the most fundamental category of machine learning mimicking the brain. It is … hierarchical concept classification by quantitative semantic analysis based on machine learning. Semantic equivalence between … machine understanding of formal concepts and quantitative relations in the hierarchical semantic space by machine learning …

network analysis and machine learning. The study revealed that these suspected radicals' networks showed significant …