Machine Intelligence 15
Machine Intelligence 15

Author: Koichi Furukawa

Publisher: Oxford University Press

Published: 1999

Total Pages: 518

ISBN-13: 9780198538677

DOWNLOAD EBOOK

The Machine Intelligence series was founded in 1965 by Donald Michie and has included many of the most important developments in the field over the past decades. This volume focuses on the theme of intelligent agents and features work by a number of eminent figures in artificial intelligence, including John McCarthy, Alan Robinson, Robert Kowalski, and Mike Genesereth. Topics include representations of consciousness, SoftBots, parallel implementations of logic, machine learning, machine vision, and machine-based scientific discovery in molecular biology.

Machine Intelligence
Machine Intelligence

Author: Pethuru Raj

Publisher: CRC Press

Published: 2023-10-03

Total Pages: 343

ISBN-13: 1000960315

DOWNLOAD EBOOK

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence: Computer Vision and Natural Language Processing emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

Human-in-the-Loop Machine Learning
Human-in-the-Loop Machine Learning

Author: Robert Munro

Publisher: Simon and Schuster

Published: 2021-07-20

Total Pages: 422

ISBN-13: 1617296740

DOWNLOAD EBOOK

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.

Distributed Computing and Artificial Intelligence, 15th International Conference
Distributed Computing and Artificial Intelligence, 15th International Conference

Author: Fernando De La Prieta

Publisher: Springer

Published: 2018-07-04

Total Pages: 385

ISBN-13: 3319946498

DOWNLOAD EBOOK

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.

Pattern Recognition and Machine Intelligence
Pattern Recognition and Machine Intelligence

Author: Sankar K. Pal

Publisher: Springer

Published: 2005-12-07

Total Pages: 831

ISBN-13: 3540324208

DOWNLOAD EBOOK

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.

Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference
Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference

Author: Sara Rodríguez

Publisher: Springer

Published: 2019-01-08

Total Pages: 505

ISBN-13: 3319996088

DOWNLOAD EBOOK

This book presents the outcomes of the 15th International Conference on Distributed Computing and Artificial Intelligence, held in Toledo (Spain) from 20th to 22nd June 2018 and hosted by the UCLM, and which brought together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies. Highlighting multi-disciplinary and transversal aspects, the book focuses on the conferences Special Sessions, including Advances in Demand Response and Renewable Energy Sources in Smart Grids (ADRESS); AI- Driven Methods for Multimodal Networks and Processes Modeling (AIMPM); Social Modelling of Ambient Intelligence in Large Facilities (SMAILF); Communications, Electronics and Signal Processing (CESP); Complexity in Natural and Formal Languages (CNFL); and Web and Social Media Mining (WASMM).

Developments in Applied Artificial Intelligence
Developments in Applied Artificial Intelligence

Author: Tim Hendtlass

Publisher: Springer

Published: 2003-08-02

Total Pages: 841

ISBN-13: 3540480358

DOWNLOAD EBOOK

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.

Machine Learning Design Patterns
Machine Learning Design Patterns

Author: Valliappa Lakshmanan

Publisher: O'Reilly Media

Published: 2020-10-15

Total Pages: 408

ISBN-13: 1098115759

DOWNLOAD EBOOK

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly

Machine Learning and Data Mining in Pattern Recognition
Machine Learning and Data Mining in Pattern Recognition

Author: Petra Perner

Publisher: Springer

Published: 2003-05-15

Total Pages: 373

ISBN-13: 354044596X

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning

Author: Mrs. Haritha V

Publisher: RK Publication

Published: 2024-06-28

Total Pages: 332

ISBN-13: 8197469784

DOWNLOAD EBOOK

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.