Handbook On Computer Learning And Intelligence In 2 Volumes

Handbook On Computer Learning And Intelligence In 2 Volumes Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Handbook On Computer Learning And Intelligence In 2 Volumes book. This book definitely worth reading, it is an incredibly well-written.

Handbook On Computer Learning And Intelligence (In 2 Volumes)

Plamen Parvanov Angelov
Handbook On Computer Learning And Intelligence In 2 Volumes Book PDF

Author : Plamen Parvanov Angelov
Publisher : World Scientific
Page : 1057 pages
File Size : 44,6 Mb
Release : 2022-06-29
Category : Computers
ISBN : 9789811247330

Get Book

Handbook On Computer Learning And Intelligence (In 2 Volumes) by Plamen Parvanov Angelov Pdf

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

The Handbook of Artificial Intelligence

Avron Barr,Edward A. Feigenbaum
The Handbook of Artificial Intelligence Book PDF

Author : Avron Barr,Edward A. Feigenbaum
Publisher : Butterworth-Heinemann
Page : 443 pages
File Size : 49,7 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781483214382

Get Book

The Handbook of Artificial Intelligence by Avron Barr,Edward A. Feigenbaum Pdf

The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Vasant, Pandian
Handbook of Research on Artificial Intelligence Techniques and Algorithms Book PDF

Author : Vasant, Pandian
Publisher : IGI Global
Page : 873 pages
File Size : 52,5 Mb
Release : 2014-11-30
Category : Computers
ISBN : 9781466672598

Get Book

Handbook of Research on Artificial Intelligence Techniques and Algorithms by Vasant, Pandian Pdf

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Handbook on Artificial Intelligence-Empowered Applied Software Engineering

Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain
Handbook on Artificial Intelligence Empowered Applied Software Engineering Book PDF

Author : Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain
Publisher : Springer Nature
Page : 209 pages
File Size : 55,9 Mb
Release : 2022-10-17
Category : Technology & Engineering
ISBN : 9783031076503

Get Book

Handbook on Artificial Intelligence-Empowered Applied Software Engineering by Maria Virvou,George A. Tsihrintzis,Nikolaos G. Bourbakis,Lakhmi C. Jain Pdf

Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

Handbook of Computational Social Science, Volume 2

Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars Lyberg
Handbook of Computational Social Science Volume 2 Book PDF

Author : Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars Lyberg
Publisher : Taylor & Francis
Page : 434 pages
File Size : 54,6 Mb
Release : 2021-11-10
Category : Computers
ISBN : 9781000448597

Get Book

Handbook of Computational Social Science, Volume 2 by Uwe Engel,Anabel Quan-Haase,Sunny Xun Liu,Lars Lyberg Pdf

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Chkoniya, Valentina
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Book PDF

Author : Chkoniya, Valentina
Publisher : IGI Global
Page : 653 pages
File Size : 51,7 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799869863

Get Book

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by Chkoniya, Valentina Pdf

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Artificial Intelligence and Algorithms in Intelligent Systems

Radek Silhavy
Artificial Intelligence and Algorithms in Intelligent Systems Book PDF

Author : Radek Silhavy
Publisher : Springer
Page : 501 pages
File Size : 40,6 Mb
Release : 2018-05-26
Category : Technology & Engineering
ISBN : 9783319911892

Get Book

Artificial Intelligence and Algorithms in Intelligent Systems by Radek Silhavy Pdf

This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Machine Learning

Tom M. Mitchell,Jaime G. Carbonell,Ryszard S. Michalski
Machine Learning Book PDF

Author : Tom M. Mitchell,Jaime G. Carbonell,Ryszard S. Michalski
Publisher : Springer
Page : 0 pages
File Size : 49,7 Mb
Release : 2011-10-14
Category : Computers
ISBN : 1461294061

Get Book

Machine Learning by Tom M. Mitchell,Jaime G. Carbonell,Ryszard S. Michalski Pdf

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Medical Image Computing and Computer Assisted Intervention MICCAI 2023 Book PDF

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 808 pages
File Size : 47,7 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031438981

Get Book

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Anonim
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes Book PDF

Author : Anonim
Publisher : World Scientific
Page : 1001 pages
File Size : 44,8 Mb
Release : 2020-03-10
Category : Computers
ISBN : 9789811204586

Get Book

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) by Anonim Pdf

This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Illustrated Computational Intelligence

Priti Srinivas Sajja
Illustrated Computational Intelligence Book PDF

Author : Priti Srinivas Sajja
Publisher : Springer Nature
Page : 225 pages
File Size : 41,8 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9789811595899

Get Book

Illustrated Computational Intelligence by Priti Srinivas Sajja Pdf

This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Handbook of Learning and Approximate Dynamic Programming

Jennie Si,Andrew G. Barto,Warren B. Powell,Don Wunsch
Handbook of Learning and Approximate Dynamic Programming Book PDF

Author : Jennie Si,Andrew G. Barto,Warren B. Powell,Don Wunsch
Publisher : John Wiley & Sons
Page : 670 pages
File Size : 55,7 Mb
Release : 2004-08-02
Category : Technology & Engineering
ISBN : 047166054X

Get Book

Handbook of Learning and Approximate Dynamic Programming by Jennie Si,Andrew G. Barto,Warren B. Powell,Don Wunsch Pdf

A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented The contributors are leading researchers in the field

Handbook On Computational Intelligence (In 2 Volumes)

Angelov Plamen Parvanov
Handbook On Computational Intelligence In 2 Volumes Book PDF

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 46,5 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

Get Book

Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Handbook of Artificial Intelligence in Healthcare

Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Handbook of Artificial Intelligence in Healthcare Book PDF

Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 463 pages
File Size : 49,5 Mb
Release : 2021-09-17
Category : Technology & Engineering
ISBN : 9783030791612

Get Book

Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain Pdf

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Handbook of Memetic Algorithms

Ferrante Neri,Carlos Cotta,Pablo Moscato
Handbook of Memetic Algorithms Book PDF

Author : Ferrante Neri,Carlos Cotta,Pablo Moscato
Publisher : Springer
Page : 370 pages
File Size : 45,8 Mb
Release : 2011-10-29
Category : Technology & Engineering
ISBN : 9783642232473

Get Book

Handbook of Memetic Algorithms by Ferrante Neri,Carlos Cotta,Pablo Moscato Pdf

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now. A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science.