Tous les ebooks de la collection "Machine Learning: Foundations, Methodologies, and Applications" - Springer

4 Livre(s)
Télécharger le livre : Introduction to Transfer Learning
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Introduction to Transfer Learning
Yiqiang Chen , Jindong Wang
Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the...

Editeur : Springer
Parution : 2023-03-30
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

52,74 €
Télécharger le livre : Evolutionary Multi-Task Optimization
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Evolutionary Multi-Task Optimization
Liang Feng , Abhishek Gupta , Yew Soon Ong , Kay Chen Tan
A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging relevant information...

Editeur : Springer
Parution : 2023-03-29
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

168,79 €
Télécharger le livre : Federated Learning
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Federated Learning
Yang Chen , Yaochu Jin , Jinjin Xu , Hangyu Zhu
This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm...

Editeur : Springer
Parution : 2022-11-29
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

168,79 €
Télécharger le livre : Genetic Programming for Production Scheduling
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Genetic Programming for Production Scheduling
Yi Mei , Su Nguyen , Mengjie Zhang , Fangfang Zhang
This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The book is divided into six parts. In Part I, it provides an introduction to production scheduling, existing solution methods, and the...

Editeur : Springer
Parution : 2021-11-12
Collection : Machine Learning: Foundations, Methodologies, and Applications
PDF, ePub

147,69 €