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Book
ISBN: 3030670244 3030670236 Year: 2022 Publisher: Cham Springer Nature
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This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
Artificial intelligence --- Data mining --- Machine learning --- Metalearning --- Automating Machine Learning (AutoML) --- Machine Learning --- Artificial Intelligence --- algorithm selection --- algorithm recommendation --- algorithm configuration --- hyperparameter optimization --- automating the workflow/pipeline design --- metalearning in ensemble construction --- metalearning in deep neural networks --- transfer learning --- algorithm recommendation for data streams --- automating data science --- Open Access
Periodical
ISSN: 25225839 Year: 2019 Publisher: [Basingstoke, UK] : Springer Nature,
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Nature Machine Intelligence will publish high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. The journal will also explore and discuss the significant impact that these fields are beginning to have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can augment human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and safe and sustainable cities, transport and agriculture. At the same time, many important questions on ethical, social and legal issues arise, especially given the fast pace of developments Nature Machine Intelligence will provide a platform to discuss these wide implications â encouraging a cross-disciplinary dialogue â with Comments, News Features, News & Views articles and also Correspondence.
Engineering --- Engineering, general --- Construction --- Industrial arts --- Technology --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial Intelligence. --- Machine Learning. --- Robotics. --- Soft Robotics --- Remote Operations (Robotics) --- Telerobotics --- Operation, Remote (Robotics) --- Operations, Remote (Robotics) --- Remote Operation (Robotics) --- Robotic, Soft --- Robotics, Soft --- Soft Robotic --- Exoskeleton Device --- Transfer Learning --- Learning, Machine --- Learning, Transfer --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Companion Robots --- Social Robots --- Socially Assistive Robots --- Assistive Robot, Socially --- Assistive Robots, Socially --- Companion Robot --- Robot, Companion --- Robot, Social --- Robot, Socially Assistive --- Robots, Companion --- Robots, Social --- Robots, Socially Assistive --- Social Robot --- Socially Assistive Robot
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