Advances In Machine Learning Research And Application 2013 Edition

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Advances in Machine Learning Research and Application: 2013 Edition

Anonim
Advances in Machine Learning Research and Application 2013 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 1080 pages
File Size : 50,6 Mb
Release : 2013-06-21
Category : Computers
ISBN : 9781481670982

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Advances in Machine Learning Research and Application: 2013 Edition by Anonim Pdf

Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advances in Machine Learning Research and Application: 2012 Edition

Anonim
Advances in Machine Learning Research and Application 2012 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 1934 pages
File Size : 49,7 Mb
Release : 2012-12-26
Category : Computers
ISBN : 9781464990694

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Advances in Machine Learning Research and Application: 2012 Edition by Anonim Pdf

Advances in Machine Learning Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Machine Learning. The editors have built Advances in Machine Learning Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advances in Machine Learning Research and Application: 2013 Edition

Anonim
Advances in Machine Learning Research and Application 2013 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 1046 pages
File Size : 42,9 Mb
Release : 2013-06-21
Category : Computers
ISBN : 9781481683197

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Advances in Machine Learning Research and Application: 2013 Edition by Anonim Pdf

Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advances in Machine Learning Research and Application: 2011 Edition

Anonim
Advances in Machine Learning Research and Application 2011 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 935 pages
File Size : 51,7 Mb
Release : 2012-01-09
Category : Computers
ISBN : 9781464920875

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Advances in Machine Learning Research and Application: 2011 Edition by Anonim Pdf

Advances in Machine Learning Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Machine Learning. The editors have built Advances in Machine Learning Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Robotics—Advances in Research and Application: 2013 Edition

Anonim
Robotics Advances in Research and Application 2013 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 655 pages
File Size : 42,7 Mb
Release : 2013-05-01
Category : Technology & Engineering
ISBN : 9781490104416

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Robotics—Advances in Research and Application: 2013 Edition by Anonim Pdf

Robotics—Advances in Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Autonomous Robotics. The editors have built Robotics—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Autonomous Robotics in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Robotics—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Mathematics—Advances in Research and Application: 2013 Edition

Anonim
Mathematics Advances in Research and Application 2013 Edition Book PDF

Author : Anonim
Publisher : ScholarlyEditions
Page : 906 pages
File Size : 45,6 Mb
Release : 2013-06-21
Category : Mathematics
ISBN : 9781481689687

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Mathematics—Advances in Research and Application: 2013 Edition by Anonim Pdf

Mathematics—Advances in Research and Application: 2013 Edition is a ScholarlyBrief™ that delivers timely, authoritative, comprehensive, and specialized information about ZZZAdditional Research in a concise format. The editors have built Mathematics—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about ZZZAdditional Research in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Mathematics—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Advances in Machine Learning and Data Science

Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Advances in Machine Learning and Data Science Book PDF

Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Publisher : Springer
Page : 380 pages
File Size : 53,6 Mb
Release : 2018-05-16
Category : Technology & Engineering
ISBN : 9789811085697

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Advances in Machine Learning and Data Science by Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K. Pdf

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.

Advances in Machine Learning Applications in Software Engineering

Zhang, Du,Tsai, Jeffery J.P.
Advances in Machine Learning Applications in Software Engineering Book PDF

Author : Zhang, Du,Tsai, Jeffery J.P.
Publisher : IGI Global
Page : 498 pages
File Size : 51,7 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781591409434

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Advances in Machine Learning Applications in Software Engineering by Zhang, Du,Tsai, Jeffery J.P. Pdf

"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Advances in Machine Learning Research

Sharad Shandilya
Advances in Machine Learning Research Book PDF

Author : Sharad Shandilya
Publisher : Unknown
Page : 155 pages
File Size : 45,7 Mb
Release : 2014
Category : Artificial intelligence
ISBN : 1633212149

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Advances in Machine Learning Research by Sharad Shandilya Pdf

In the digital age, the field of machine learning has lived up to its promise of learning from and leveraging data in diverse fields, creating knowledge and driving decisions. This book intends to detail advances in the state-of-the-art in machine learning, one of the fastest emerging fields in the industry and one of the most popular fields of research in computational sciences. The roots of machine learning methods can be traced back to both statistics and computer science. Its story continues to evolve and the future is set to be greatly influenced through ML's contributions to the human knowledge-base as well as the economic engine. Applied machine learning research enthuses the masses with applications such as video games that interact through a camera, self-driving cars, etc. At the same time, more basic machine learning research holds the potential to impact knowledge elicitation, learning, predictions, decisions, and optimizations in fields ranging from environmental/biomedical/clinical informatics on one hand to online retail and search on the other. Accordingly, the contents of this volume are geared to present a full-color palette consisting of improved optimization algorithms, novel ANN design architectures, along with customized methods for mining an environmental dataset, pattern recognition in images, and for improved document and text search. While many out-of-the-box implementations of machine learning algorithms are currently available, customized methods developed by honed and innovative researchers continue to provide significant improvements in various contexts. Advancements through basic research continue to break the barriers of the extent of ML's contribution to the world.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 47,6 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Machine Learning Paradigms

George A. Tsihrintzis,Lakhmi C. Jain
Machine Learning Paradigms Book PDF

Author : George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer
Page : 430 pages
File Size : 48,9 Mb
Release : 2021-07-25
Category : Computers
ISBN : 3030497267

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Machine Learning Paradigms by George A. Tsihrintzis,Lakhmi C. Jain Pdf

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Lifelong Machine Learning

Zhiyuan Chen,Bing Liu
Lifelong Machine Learning Book PDF

Author : Zhiyuan Chen,Bing Liu
Publisher : Morgan & Claypool Publishers
Page : 209 pages
File Size : 40,5 Mb
Release : 2018-08-14
Category : Computers
ISBN : 9781681733036

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Lifelong Machine Learning by Zhiyuan Chen,Bing Liu Pdf

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Deep Learning Research Applications for Natural Language Processing

Ashok Kumar, L.,Karthika Renuka, Dhanaraj,Geetha, S.
Deep Learning Research Applications for Natural Language Processing Book PDF

Author : Ashok Kumar, L.,Karthika Renuka, Dhanaraj,Geetha, S.
Publisher : IGI Global
Page : 313 pages
File Size : 50,6 Mb
Release : 2022-12-09
Category : Computers
ISBN : 9781668460030

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Deep Learning Research Applications for Natural Language Processing by Ashok Kumar, L.,Karthika Renuka, Dhanaraj,Geetha, S. Pdf

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

Empowering Artificial Intelligence Through Machine Learning

Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn
Empowering Artificial Intelligence Through Machine Learning Book PDF

Author : Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn
Publisher : CRC Press
Page : 264 pages
File Size : 50,8 Mb
Release : 2022-06-16
Category : Computers
ISBN : 9781000089424

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Empowering Artificial Intelligence Through Machine Learning by Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn Pdf

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.

Advances on Machine and Deep Learning Techniques in Modern Applications

Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia
Advances on Machine and Deep Learning Techniques in Modern Applications Book PDF

Author : Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia
Publisher : SK Research Group of Companies
Page : 304 pages
File Size : 51,9 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9789391077921

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Advances on Machine and Deep Learning Techniques in Modern Applications by Dr. T. Arumuga Maria Devi ,Mrs.Ajitha S Raj,Mr.A.Chockalingam,MrsSunitha S,S.Gnana Sophia Pdf

Dr.T.Arumuga Maria Devi, Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. Mrs.Ajitha S Raj, Assistant Professor, Department of Computer Science, Womens Christian College, Nagercoil, Tamil Nadu, India and Researcher, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. Mr.A.Chockalingam, Assistant Professor Temp and Researcher, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. Mrs.S.SUNITHA, Assistant Professor, Department of Computer Science, Womens Christian College, Nagercoil, Tamil Nadu, India. Mrs.S.GNANA SOPHIA, Assistant Professor, Department of Computer Applications, Scott Christian College Autonomous , Nagercoil, Tamil Nadu, India.