Informatics and Machine Learning : From Martingales to Metaheuristics

Informatics and Machine Learning: From M

📁 Informatics and Machine Learning: From Martingales to Metaheuristics

✍ Stephen Winters-Hilt 📂 Library 📅 2022 🏛 Wiley 🌐 English

Informatics and Machine Learning Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data Informatics and Machine Learning: From Martingales to Metaheuristics delivers an interdisciplinary p

Machine Learning and Metaheuristics: Met

📁 Machine Learning and Metaheuristics: Methods and Analysis

✍ Uma N. Dulhare; Essam Halim Houssein 📂 Library 📅 2023 🏛 Springer Nature Singapore 🌐 English

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into

Metaheuristics in Machine Learning: Theo

📁 Metaheuristics in Machine Learning: Theory and Applications

✍ Diego Oliva; Essam H. Houssein; Salvador Hinojosa 📂 Library 🏛 Springer International Publishing 🌐 English

Metaheuristics for Machine Learning - Al

📁 Metaheuristics for Machine Learning - Algorithms and Applications

✍ Kanak Kalita; Narayanan Ganesh; S. Balamurugan 📂 Library 📅 2024 🏛 WILEY 🌐 English

The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex op

Metaheuristics for Machine Learning: New

📁 Metaheuristics for Machine Learning: New Advances and Tools

✍ Mansour Eddaly, Bassem Jarboui, Patrick Siarry 📂 Library 📅 2023 🏛 Springer 🌐 English

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of ev

Metaheuristics for Machine Learning: New

📁 Metaheuristics for Machine Learning: New Advances and Tools

✍ Mansour Eddaly; Bassem Jarboui; Patrick Siarry 📂 Library 📅 2023 🏛 Springer Nature 🌐 English

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of ev

Informatics and Machine Learning : From Martingales to Metaheuristics

✦ Synopsis