Pricai 2002 Trends In Artificial Intelligence

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PRICAI 2002: Trends in Artificial Intelligence

Author : Mitsuru Ishizuka
Publisher : Springer Science & Business Media
ISBN 13 : 3540440380
Total Pages : 643 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis PRICAI 2002: Trends in Artificial Intelligence by : Mitsuru Ishizuka

Download or read book PRICAI 2002: Trends in Artificial Intelligence written by Mitsuru Ishizuka and published by Springer Science & Business Media. This book was released on 2002-08-07 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002, held in Tokyo, Japan in August 2002. The 57 revised full papers presented together with 5 invited contributions and 26 posters were carefully reviewed and selected from 161 submissions. The papers are organized in topical sections on logic and AI foundations, representation and reasoning of actions, constraint satisfaction, foundations of agents, foundations of learning, reinforcement learning, knowledge acquisition and management, data mining and knowledge discovery, neural network learning, learning for robots, multi-agent applications, document analysis, Web intelligence, bioinformatics, intelligent learning environments, face recognition, and multimedia and emotion.

Pricai 2002

Author : Mitsuru Ishizuka
Publisher :
ISBN 13 : 9783662170847
Total Pages : 648 pages
Book Rating : 4.1/5 (78 download)

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Book Synopsis Pricai 2002 by : Mitsuru Ishizuka

Download or read book Pricai 2002 written by Mitsuru Ishizuka and published by . This book was released on 2014-01-15 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:

PRICAI 2002

Author :
Publisher :
ISBN 13 :
Total Pages : 623 pages
Book Rating : 4.:/5 (939 download)

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Book Synopsis PRICAI 2002 by :

Download or read book PRICAI 2002 written by and published by . This book was released on 2002 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt:

PRICAI 2004: Trends in Artificial Intelligence

Author : Chengqi Zhang
Publisher : Springer
ISBN 13 : 3540286330
Total Pages : 1043 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis PRICAI 2004: Trends in Artificial Intelligence by : Chengqi Zhang

Download or read book PRICAI 2004: Trends in Artificial Intelligence written by Chengqi Zhang and published by Springer. This book was released on 2004-09-21 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which focuses on Artificial Intelligence (AI) theories and technologies, and their applications which are of social and economic importance for countries in the Pacific Rim region. Seven earlier conferences were held in: Nagoya, Japan (1990); Seoul, Korea (1992); Beijing, China (1994); Cairns, Australia (1996); Singapore (1998); Melbourne, Australia (2000); and Tokyo, Japan (2002). PRICAI 2004 was the eigth in the series and was held in Auckland, New Zealand in August 2004. PRICAI 2004 had attracted a historical record number of submissions, a total of 356 papers. After careful reviews by at least two international Program Committee members or referees, 94 papers were accepted as full papers (27%) and 54 papers (15%) were accepted as posters. Authors of accepted papers came from 27 countries. This volume of the proceedings contains all the 94 full papers but only a 2-page - tended abstract of each of the accepted posters. The full papers were categorized into four sections, namely: AI foundations, computational intelligence, AI technologies and systems, and AI specific application areas. Among the papers submitted, we found “Agent Technology” to be the area having the most papers submitted. This was followed by “Evolutionary Computing”, “Computational Learning”, and “Image Processing”.

PRICAI 2002: Trends in Artificial Intelligence

Author : Mitsuru Ishizuka
Publisher : Springer
ISBN 13 : 354045683X
Total Pages : 643 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis PRICAI 2002: Trends in Artificial Intelligence by : Mitsuru Ishizuka

Download or read book PRICAI 2002: Trends in Artificial Intelligence written by Mitsuru Ishizuka and published by Springer. This book was released on 2003-08-02 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt:

PRICAI 2004: Trends in Artificial Intelligence

Author : Chengqi Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 3540228179
Total Pages : 1043 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis PRICAI 2004: Trends in Artificial Intelligence by : Chengqi Zhang

Download or read book PRICAI 2004: Trends in Artificial Intelligence written by Chengqi Zhang and published by Springer Science & Business Media. This book was released on 2004-08-16 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004, held in Auckland, New Zealand in August 2004. The 94 revised full papers and 45 revised poster papers presented together with 3 invited contributions were carefully reviewed and selected from 356 submissions. The papers are organized in topical sections on logic and reasoning, knowledge representation and search, ontologies, planning, constraint satisfaction, machine learning, computational learning, Bayesian networks, evolutionary computing, neural networks, fuzzy logic, data mining, classification and clustering, case-based reasoning, information retrieval, agent technology, robotics, bioinformatics, image processing and computer vision, natural language processing, and speech understanding and interaction.

Artificial Intelligence

Author : Tencent Research Institute
Publisher : Springer Nature
ISBN 13 : 9811565481
Total Pages : 322 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Artificial Intelligence by : Tencent Research Institute

Download or read book Artificial Intelligence written by Tencent Research Institute and published by Springer Nature. This book was released on 2020-10-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries. The book also provides an in-depth analysis of the opportunities and challenges that artificial intelligence brings to individuals, businesses, and society. For readers who want to fully understand artificial intelligence, this book provides an important reference and is a must-read.

Artificial Intelligence and Industrial Applications

Author : Tawfik Masrour
Publisher : Springer Nature
ISBN 13 : 3031435206
Total Pages : 493 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour

Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2023-10-16 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Next Generation AI Language Models in Research

Author : Kashif Naseer Qureshi
Publisher : CRC Press
ISBN 13 : 1040157327
Total Pages : 349 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Next Generation AI Language Models in Research by : Kashif Naseer Qureshi

Download or read book Next Generation AI Language Models in Research written by Kashif Naseer Qureshi and published by CRC Press. This book was released on 2024-11-13 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

AI 2002: Advances in Artificial Intelligence

Author : Bob McKay
Publisher : Springer
ISBN 13 : 3540361871
Total Pages : 744 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis AI 2002: Advances in Artificial Intelligence by : Bob McKay

Download or read book AI 2002: Advances in Artificial Intelligence written by Bob McKay and published by Springer. This book was released on 2003-07-01 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th Australian Joint Conference on Artificial Intelligence, AI 2002, held in Canberra, Australia in December 2002. The 62 revised full papers and 12 posters presented were carefully reviewed and selected from 117 submissions. The papers are organized in topical sections on natural language and information retrieval, knowledge representation and reasoning, deduction, learning theory, agents, intelligent systems. Bayesian reasoning and classification, evolutionary algorithms, neural networks, reinforcement learning, constraints and scheduling, neural network applications, satisfiability reasoning, machine learning applications, fuzzy reasoning, and case-based reasoning.

Introduction to Artificial Intelligence

Author : Konstantin V Titov
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (741 download)

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Book Synopsis Introduction to Artificial Intelligence by : Konstantin V Titov

Download or read book Introduction to Artificial Intelligence written by Konstantin V Titov and published by Independently Published. This book was released on 2024-01-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Definition and History of AI: Explore the origins and evolution of AI, from its humble beginnings to its current transformative impact. Types of AI: Delve into the different types of AI, from Narrow AI and General AI to the intriguing realm of Superintelligent AI. Data's Crucial Role: Understand the importance of data in AI, its various types (Structured, Unstructured, Semi-Structured), and how it drives AI innovation. Fundamentals of Machine Learning: Uncover the core concepts of machine learning, from Supervised vs. Unsupervised Learning to Reinforcement Learning and Common Algorithms. Neural Networks and Deep Learning: Learn the basics of neural networks, explore the power of deep learning, and grasp the significance of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Natural Language Processing (NLP): Gain insights into how AI understands language, including Sentiment Analysis, Chatbots, and Translation. Computer Vision: Discover the wonders of image recognition and object detection, along with the intricacies of Facial Recognition Technology. Robotics and Autonomous Systems: Explore AI's role in robotics, from AI-driven robots to self-driving cars and drones. Ethical Considerations: Delve into the ethical aspects of AI, addressing bias, fairness, privacy, and security concerns. Real-World Applications: Witness AI's impact across industries such as healthcare, finance, and retail, and glimpse into the future of AI in various sectors. Emerging Trends: Stay ahead of the curve by exploring quantum computing's synergy with AI and the convergence of AI with the Internet of Things (IoT). Career Paths: Learn about the diverse roles in AI and the essential skills required, as well as the exciting future of work in the AI field. Whether you're a fan of AI, a student eager to learn, or a seasoned professional, "Introduction to Artificial Intelligence: Understanding the Basics" provides you with the essential knowledge to grasp, appreciate, and effectively navigate the AI revolution. Get ready for an exciting adventure into the fascinating world of artificial intelligence.

PRICAI ... : Topics in Artificial Intelligence

Author :
Publisher :
ISBN 13 :
Total Pages : 660 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis PRICAI ... : Topics in Artificial Intelligence by :

Download or read book PRICAI ... : Topics in Artificial Intelligence written by and published by . This book was released on 2002 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Artificial Intelligence

Author :
Publisher :
ISBN 13 : 9789392262883
Total Pages : 0 pages
Book Rating : 4.2/5 (628 download)

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Book Synopsis Handbook of Artificial Intelligence by :

Download or read book Handbook of Artificial Intelligence written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI 2006: Advances in Artificial Intelligence

Author : Abdul Sattar
Publisher : Springer
ISBN 13 : 3540497889
Total Pages : 1328 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis AI 2006: Advances in Artificial Intelligence by : Abdul Sattar

Download or read book AI 2006: Advances in Artificial Intelligence written by Abdul Sattar and published by Springer. This book was released on 2006-11-18 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Australian Joint Conference on Artificial Intelligence, AI 2006, held in Hobart, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent agents, cognition and user interface, vision and image processing, natural language processing and Web intelligence, neural networks, robotics, and AI applications.

Artificial Intelligence

Author : Zixing Cai
Publisher : World Scientific Publishing Company
ISBN 13 : 9789811223716
Total Pages : 600 pages
Book Rating : 4.2/5 (237 download)

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Book Synopsis Artificial Intelligence by : Zixing Cai

Download or read book Artificial Intelligence written by Zixing Cai and published by World Scientific Publishing Company. This book was released on 2021 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This English edition monograph is developed and updated from China's best-selling, and award-winning, book on Artificial Intelligence (AI). It covers the foundations as well as the latest developments of AI in a comprehensive and systematic manner. It is a valuable guide for students and researchers on artificial intelligence. A wide range of topics in AI are covered in this book with four distinct features. First of all, the book comprises a comprehensive system, covering the core technology of AI, including the basic theories and techniques of "traditional" artificial intelligence, and the basic principles and methods of computational intelligence. Secondly, the book focuses on innovation, covering advanced learning methods for machine learning and deep learning techniques and other artificial intelligence that have been widely used in recent years. Thirdly, the theory and practice of the book are highly integrated. There are theories, techniques and methods, as well as many application examples, which will help readers to understand the artificial intelligence theory and its application development. Fourthly, the content structure of the book is quite characteristic, consisting of three parts: (i) knowledge-based artificial intelligence, (ii) data-based artificial intelligence, and (iii) artificial intelligence applications.It is closely related to the core elements of artificial intelligence, namely knowledge, data, algorithms, and computing powers. This reflects the authors' deep understanding of the artificial intelligence discipline.

Bridging Human Intelligence and Artificial Intelligence

Author : Mark V. Albert
Publisher : Springer
ISBN 13 : 9783030847289
Total Pages : 363 pages
Book Rating : 4.8/5 (472 download)

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Book Synopsis Bridging Human Intelligence and Artificial Intelligence by : Mark V. Albert

Download or read book Bridging Human Intelligence and Artificial Intelligence written by Mark V. Albert and published by Springer. This book was released on 2022-02-25 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is based on contributions from the TCET-AECT “Human-Technology Frontier: Understanding the Learning of Now to Prepare for the Work of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and implementing advances technologies in learning and instruction, and focus on the emerging themes of artificial intelligence, human-computer interactions, and the resulting instructional design. The volume will be divided into four parts: (1) Trends and future in learning and learning technologies expected in the next 10 years; (2) Technologies likely to have a significant impact on learning in the next 10 years; (3) Challenges that will need to be addressed and resolved in order to achieve significant and sustained improvement in learning; and (4) Reflections and insights from the Symposium that should be pursued and that can form the basis for productive research collaborations. The primary audience for this volume is academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer interactions, information science, library science, and technology integration.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Author : K. Gayathri Devi
Publisher : CRC Press
ISBN 13 : 9780367854737
Total Pages : 250 pages
Book Rating : 4.8/5 (547 download)

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Book Synopsis Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches by : K. Gayathri Devi

Download or read book Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches written by K. Gayathri Devi and published by CRC Press. This book was released on 2020-10-08 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning