Machine Learning: Foundations, Methodologies, and Applications – serie
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34 produkter
Embodied Multi-Agent Systems
Perception, Action, and Learning
Av Huaping Liu, Xinzhu Liu m. fl.
Häftad, 2026
1967 kr
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In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Effective collaboration among these agents is crucial but presents significant challenges due to …
Machine Learning with Julia
An Algorithmic Exploration
Inbunden, 2026
826 kr
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This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through both foundational concepts and advanced algorithms. Covering topics from essential principles …
Genetic Programming for Production Scheduling
An Evolutionary Learning Approach
Av Fangfang Zhang, Su Nguyen m. fl.
Inbunden, 2021
1641 kr
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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 GP approach to production …
Genetic Programming for Production Scheduling
An Evolutionary Learning Approach
Av Fangfang Zhang, Su Nguyen m. fl.
Häftad, 2022
1641 kr
Lägg i varukorg
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 GP approach to production …
Machine Learning
The Basics
Inbunden, 2022
680 kr
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Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the …
Machine Learning
The Basics
Häftad, 2023
680 kr
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Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the …
Foundations of Deep Learning
Inbunden, 2025
1532 kr
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Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep …
Artificial Intelligence with Python
Inbunden, 2022
792 kr
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Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to …
Evolutionary Multi-Task Optimization
Foundations and Methodologies
Av Liang Feng, Abhishek Gupta m. fl.
Inbunden, 2023
1858 kr
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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 across related tasks as …
Evolutionary Multi-Task Optimization
Foundations and Methodologies
Av Liang Feng, Abhishek Gupta m. fl.
Häftad, 2025
1858 kr
Lägg i varukorg
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 across related tasks as …
Concise Guide to Quantum Machine Learning
Inbunden, 2022
1690 kr
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This book offers a brief but effective introduction to quantum machine learning (QML). QML is not merely a translation of classical machine learning techniques into the language of quantum computing, but rather a new approach to data representation and processing. Accordingly, the content is not …
Concise Guide to Quantum Machine Learning
Häftad, 2023
1690 kr
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This book offers a brief but effective introduction to quantum machine learning (QML). QML is not merely a translation of classical machine learning techniques into the language of quantum computing, but rather a new approach to data representation and processing. Accordingly, the content is not …
Federated Learning
Fundamentals and Advances
Av Yaochu Jin, Hangyu Zhu m. fl.
Inbunden, 2022
1802 kr
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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 which enables model training …
Federated Learning
Fundamentals and Advances
Av Yaochu Jin, Hangyu Zhu m. fl.
Häftad, 2023
1802 kr
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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 which enables model training …
Introduction to Transfer Learning
Algorithms and Practice
Inbunden, 2023
792 kr
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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 interest of the research and …
Introduction to Transfer Learning
Algorithms and Practice
Häftad, 2024
568 kr
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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 interest of the research and …
Urban Knowledge Graph
Construction, Representation and Application
Inbunden, 2027
1476 kr
Kommande
The development of smart cities relies on the growing research in data-driven urban intelligence, driven by the tremendous accumulation in urban data and advancements in artificial intelligence. However, current research faces issues of robustness and explainability. To overcome these obstacles and …
Graph Neural Network Training
From Data Management Perspective
Av Yanyan Shen, Lei Chen
Inbunden, 2026
1465 kr
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Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of …
Cross-device Federated Recommendation
Privacy-Preserving Personalization
Av Xiangjie Kong, Lingyun Wang m. fl.
Inbunden, 2025
1507 kr
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This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device federated learning …
Cross-device Federated Recommendation
Privacy-Preserving Personalization
Av Xiangjie Kong, Lingyun Wang m. fl.
Häftad, 2026
1353 kr
Lägg i varukorg
This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device federated learning …
Embodied Multi-Agent Systems
Perception, Action, and Learning
Av Huaping Liu, Xinzhu Liu m. fl.
Inbunden, 2025
1967 kr
Lägg i varukorg
In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Effective collaboration among these agents is crucial but presents significant challenges due to …
Derivative-Free Optimization
Theoretical Foundations, Algorithms, and Applications
Inbunden, 2025
1690 kr
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This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients …
Derivative-Free Optimization
Theoretical Foundations, Algorithms, and Applications
Häftad, 2026
1690 kr
Lägg i varukorg
This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients …
Topic Modeling
Advanced Techniques and Applications
Av Yanghui Rao, Qing Li
Inbunden, 2025
2026 kr
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As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural language processing. Although topic models have seen significant achievements over the past …
Topic Modeling
Advanced Techniques and Applications
Av Yanghui Rao, Qing Li
Häftad, 2026
2026 kr
Lägg i varukorg
As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural language processing. Although topic models have seen significant achievements over the past …
Robust Machine Learning
Distributed Methods for Safe AI
Av Rachid Guerraoui, Nirupam Gupta m. fl.
Inbunden, 2024
1577 kr
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Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning …
Robust Machine Learning
Distributed Methods for Safe AI
Av Rachid Guerraoui, Nirupam Gupta m. fl.
Häftad, 2025
1577 kr
Lägg i varukorg
Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning …
Unsupervised Domain Adaptation
Recent Advances and Future Perspectives
Av Jingjing Li, Lei Zhu m. fl.
Inbunden, 2024
1858 kr
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Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its …
Unsupervised Domain Adaptation
Recent Advances and Future Perspectives
Av Jingjing Li, Lei Zhu m. fl.
Häftad, 2025
1914 kr
Lägg i varukorg
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its …
