Data Complexity in Pattern Recognition

Blending Algorithmic Trading with Machine Learning For Forex and Stock Market Indicators

Supervised, Unsupervised & Reinforcement Machine Learning explained with practical business use cases & AI applications

Authors: Ventura, Sebastián, Luna, José María
Covers the use of Evolutionary Computation techniques to pattern mining problems
Uses algorithms that have been integrated into the well-known WEKA software for free use
Offers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process

Master adaptive data governance frameworks, Data Mesh, AI ethics & compliance from beginner to strategic leader

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python

The Book contains 17 in total articles that are accepted and published in the Special Issue “Computational Methods and Application in Machine Learning, 2023” of the MDPI Mathematics journal. The articles cover a wide range of topics with respect to the theory and applications of the computational method in machine learning. These keywords include artificial intelligence big data and analysis, machine learning, deep learning, natural language understanding, pattern recognition, computer vision, information retrieval, data mining, bioinformatics and biomedical applications, reinforcement learning, multimedia analysis and retrieval, multimodal representation learning, feature selection, clustering, etc.

This book investigates how human mental fatigue (MF) can be objectively measured during demanding maritime operations. The maritime domain is characterized by demanding operations. These operations can be especially complex and dangerous when they require coordination between different maritime vessels and several maritime operators. The best approach to quantify MF is through the use of physiological sensors including electroencephalogram (EEG), electrocardiogram, electromyogram, temperature sensor, and eye tracker can be applied, individually or in conjunction, in order to collect relevant data that can be mapped to an MF scale. More than simpler sensor fusion, this book bridges the gap between relevant sensor data and a quantifiable MF level using both data-driven and model-based approaches.