Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
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Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Author: Fernando De La Prieta
Publisher: Springer
ISBN: 3319946498
Category : Technology & Engineering
Languages : en
Pages : 385
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Book Description
The 15th International Symposium on Distributed Computing and Artificial Intelligence 2018 (DCAI 2018) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Castilla-La Mancha, the Osaka Institute of Technology and the University of Salamanca. The present edition was held in Toledo, Spain, from 20th – 22nd June, 2018.
Author: Sankar K. Pal
Publisher: Springer
ISBN: 3540324208
Category : Computers
Languages : en
Pages : 831
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005. The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.
Author: Tim Hendtlass
Publisher: Springer
ISBN: 3540480358
Category : Computers
Languages : en
Pages : 841
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Book Description
Arti?cial Intelligence is a ?eld with a long history, which is still very much active and developing today. Developments of new and improved techniques, together with the ever-increasing levels of available computing resources, are fueling an increasing spread of AI applications. These applications, as well as providing the economic rationale for the research, also provide the impetus to further improve the performance of our techniques. This further improvement today is most likely to come from an understanding of the ways our systems work, and therefore of their limitations, rather than from ideas ‘borrowed’ from biology. From this understanding comes improvement; from improvement comes further application; from further application comes the opportunity to further understand the limitations, and so the cycle repeats itself inde?nitely. In this volume are papers on a wide range of topics; some describe appli- tions that are only possible as a result of recent developments, others describe new developments only just being moved into practical application. All the - pers re?ect the way this ?eld continues to drive forward. This conference is the 15th in an unbroken series of annual conferences on Industrial and Engineering Application of Arti?cial Intelligence and Expert Systems organized under the auspices of the International Society of Applied Intelligence.
Author: Jeff Hawkins
Publisher: Macmillan
ISBN: 1429900458
Category : Computers
Languages : en
Pages : 276
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Book Description
The inventor of the PalmPilot shares a compelling new theory of intelligence, brain function, and the future of artificial intelligence. Tech innovator Jeff Hawkins reshaped our relationship to computers with devices like the PalmPilot. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. In this book, Hawkins develops a powerful theory of human cognition and explains how, based on his theory, we can finally build intelligent machines. According to Hawkins, the brain is a complex system that remembers sequences of events and their nested relationships. This style of organization reflects the true structure of the world and allows us to make increasingly accurate predictions. This memory-prediction process in turn forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style accessible to the general reader, Hawkins shows how a clear understanding of brain function can be applied to building intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence is a landmark book in its scope and clarity. “Brilliant and imbued with startling clarity . . . the most important book in neuroscience, psychology, and artificial intelligence in a generation.” —Malcolm Young, University of Newcastle
Author: Liang Sun
Publisher: CRC Press
ISBN: 1439806160
Category : Business & Economics
Languages : en
Pages : 206
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Book Description
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
Author: Mrs. Haritha V
Publisher: RK Publication
ISBN: 8197469784
Category : Computers
Languages : en
Pages : 332
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Book Description
Artificial Intelligence & Machine Learning the fundamentals, advancements, and practical applications of AI and ML. Covering key concepts, algorithms, and tools Readers with insights into machine learning models, neural networks, natural language processing, and computer vision. Suitable for beginners and professionals alike, the book balances theory and hands-on examples to equip readers with the skills needed to design intelligent systems. It delves into ethical considerations and future trends, offering a comprehensive overview for anyone interested in understanding or developing AI and ML technologies.
Author: Simon Rogers
Publisher: CRC Press
ISBN: 1498738567
Category : Business & Economics
Languages : en
Pages : 346
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Book Description
"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." —Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." —Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." —David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." —Guangzhi Qu, Oakland University, Rochester, Michigan, USA
Author: Vaclav Skala
Publisher: Springer Nature
ISBN: 9811923477
Category : Technology & Engineering
Languages : en
Pages : 909
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Book Description
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Author: Pawan Whig
Publisher: CRC Press
ISBN: 1040228771
Category : Computers
Languages : en
Pages : 287
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Book Description
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
