Computers / Computer Engineering
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Formal Methods for Multi-Agent Feedback Control Systems
ISBN: 9780262049719
Publisher: The MIT Press
Pub Date: April 29, 2025
An introduction to formal methods for feedback control of multi-agent systems with safety and performance guarantees.
Principles of Cyber-Physical Systems
ISBN: 9780262548922
Publisher: The MIT Press
Pub Date: August 15, 2023
A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems.
Modeling and Analysis of Communicating Systems
ISBN: 9780262547871
Publisher: The MIT Press
Pub Date: May 9, 2023
Rigorous theory and real-world applications for modeling and analysis of the behavior of complex communicating computer systems
Information-Driven Planning and Control
ISBN: 9780262045421
Publisher: The MIT Press
Pub Date: July 6, 2021
A unified framework for developing planning and control algorithms for active sensing, with examples of applications for modern sensor technologies.
Probabilistic Machine Learning for Civil Engineers
ISBN: 9780262538701
Publisher: The MIT Press
Pub Date: April 7, 2020
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.
Introduction to Machine Learning
ISBN: 9780262043793
Publisher: The MIT Press
Pub Date: March 17, 2020
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.
Quantum Computing
A Gentle Introduction
ISBN: 9780262526678
Publisher: The MIT Press
Pub Date: August 29, 2014
A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.
Introduction to Machine Learning
ISBN: 9780262012430
Publisher: The MIT Press
Pub Date: December 4, 2009
A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions.
Aesthetic Computing
ISBN: 9780262562379
Publisher: The MIT Press
Pub Date: August 29, 2008
In Aesthetic Computing, key scholars and practitioners from art, design, computer science, and mathematics lay the foundations for a discipline that applies the theory and practice of art to computing....
Formal Methods for Multi-Agent Feedback Control Systems
ISBN: 9780262049719
Publisher: The MIT Press
Pub Date: April 29, 2025
An introduction to formal methods for feedback control of multi-agent systems with safety and performance guarantees.
Principles of Cyber-Physical Systems
ISBN: 9780262548922
Publisher: The MIT Press
Pub Date: August 15, 2023
A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems.
Modeling and Analysis of Communicating Systems
ISBN: 9780262547871
Publisher: The MIT Press
Pub Date: May 9, 2023
Rigorous theory and real-world applications for modeling and analysis of the behavior of complex communicating computer systems
Information-Driven Planning and Control
ISBN: 9780262045421
Publisher: The MIT Press
Pub Date: July 6, 2021
A unified framework for developing planning and control algorithms for active sensing, with examples of applications for modern sensor technologies.
Probabilistic Machine Learning for Civil Engineers
ISBN: 9780262538701
Publisher: The MIT Press
Pub Date: April 7, 2020
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.
Introduction to Machine Learning
ISBN: 9780262043793
Publisher: The MIT Press
Pub Date: March 17, 2020
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.
Quantum Computing
A Gentle Introduction
ISBN: 9780262526678
Publisher: The MIT Press
Pub Date: August 29, 2014
A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.
Introduction to Machine Learning
ISBN: 9780262012430
Publisher: The MIT Press
Pub Date: December 4, 2009
A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions.
Aesthetic Computing
ISBN: 9780262562379
Publisher: The MIT Press
Pub Date: August 29, 2008
In Aesthetic Computing, key scholars and practitioners from art, design, computer science, and mathematics lay the foundations for a discipline that applies the theory and practice of art to computing....