Advances In Machine Learning Research And Application 2012 Edition

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Advances in Machine Learning Research and Application: 2012 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464990697
Total Pages : 1934 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Advances in Machine Learning Research and Application: 2012 Edition by :

Download or read book Advances in Machine Learning Research and Application: 2012 Edition written by and published by ScholarlyEditions. This book was released on 2012-12-26 with total page 1934 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1481670980
Total Pages : 1080 pages
Book Rating : 4.4/5 (816 download)

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Book Synopsis Advances in Machine Learning Research and Application: 2013 Edition by :

Download or read book Advances in Machine Learning Research and Application: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-06-21 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464920877
Total Pages : 935 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Advances in Machine Learning Research and Application: 2011 Edition by :

Download or read book Advances in Machine Learning Research and Application: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 935 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/.

Advances in Machine Learning and Data Science

Author : Damodar Reddy Edla
Publisher : Springer
ISBN 13 : 9811085692
Total Pages : 380 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advances in Machine Learning and Data Science by : Damodar Reddy Edla

Download or read book Advances in Machine Learning and Data Science written by Damodar Reddy Edla and published by Springer. This book was released on 2018-05-16 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Machine Learning Technologies and Applications

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3642353266
Total Pages : 602 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul Ella Hassanien

Download or read book Advanced Machine Learning Technologies and Applications written by Aboul Ella Hassanien and published by Springer. This book was released on 2012-12-03 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012. The 58 full papers presented were carefully reviewed and selected from 99 intial submissions. The papers are organized in topical sections on rough sets and applications, machine learning in pattern recognition and image processing, machine learning in multimedia computing, bioinformatics and cheminformatics, data classification and clustering, cloud computing and recommender systems.

Advances in Machine Learning Applications in Software Engineering

Author : Zhang, Du
Publisher : IGI Global
ISBN 13 : 1591409438
Total Pages : 498 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Advances in Machine Learning Applications in Software Engineering by : Zhang, Du

Download or read book Advances in Machine Learning Applications in Software Engineering written by Zhang, Du and published by IGI Global. This book was released on 2006-10-31 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Algorithms—Advances in Research and Application: 2012 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464990611
Total Pages : 2152 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Algorithms—Advances in Research and Application: 2012 Edition by :

Download or read book Algorithms—Advances in Research and Application: 2012 Edition written by and published by ScholarlyEditions. This book was released on 2012-12-26 with total page 2152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms—Advances in Research and Application: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Algorithms. The editors have built Algorithms—Advances in Research and Application: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Algorithms 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 Algorithms—Advances in 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 and Data Mining for Astronomy

Author : Michael J. Way
Publisher : CRC Press
ISBN 13 : 1439841748
Total Pages : 744 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

Advances on Machine and Deep Learning Techniques in Modern Applications

Author : Dr. T. Arumuga Maria Devi
Publisher : SK Research Group of Companies
ISBN 13 : 9391077927
Total Pages : 304 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advances on Machine and Deep Learning Techniques in Modern Applications by : Dr. T. Arumuga Maria Devi

Download or read book Advances on Machine and Deep Learning Techniques in Modern Applications written by Dr. T. Arumuga Maria Devi and published by SK Research Group of Companies. This book was released on 2022-11-08 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Machine Learning and Data Analysis

Author : Mahyar Amouzegar
Publisher : Springer Science & Business Media
ISBN 13 : 9048131774
Total Pages : 241 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Advances in Machine Learning and Data Analysis by : Mahyar Amouzegar

Download or read book Advances in Machine Learning and Data Analysis written by Mahyar Amouzegar and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.

Advances in Machine Learning Research

Author : Sharad Shandilya
Publisher :
ISBN 13 : 9781633212145
Total Pages : 155 pages
Book Rating : 4.2/5 (121 download)

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Book Synopsis Advances in Machine Learning Research by : Sharad Shandilya

Download or read book Advances in Machine Learning Research written by Sharad Shandilya and published by . This book was released on 2014 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning Paradigms

Author : George A. Tsihrintzis
Publisher : Springer
ISBN 13 : 9783030497262
Total Pages : 430 pages
Book Rating : 4.4/5 (972 download)

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Book Synopsis Machine Learning Paradigms by : George A. Tsihrintzis

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer. This book was released on 2021-07-25 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning

Author : Hamed Farhadi
Publisher : BoD – Books on Demand
ISBN 13 : 1789237521
Total Pages : 231 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Machine Learning by : Hamed Farhadi

Download or read book Machine Learning written by Hamed Farhadi and published by BoD – Books on Demand. This book was released on 2018-09-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Author : Biju, Soly Mathew
Publisher : IGI Global
ISBN 13 : 1668486989
Total Pages : 321 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science by : Biju, Soly Mathew

Download or read book Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science written by Biju, Soly Mathew and published by IGI Global. This book was released on 2023-09-13 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

Fundamentals Of Deep Learning: Theory And Applications

Author : Dr. Pokkuluri Kiran Sree
Publisher : Academic Guru Publishing House
ISBN 13 : 8119152530
Total Pages : 208 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Fundamentals Of Deep Learning: Theory And Applications by : Dr. Pokkuluri Kiran Sree

Download or read book Fundamentals Of Deep Learning: Theory And Applications written by Dr. Pokkuluri Kiran Sree and published by Academic Guru Publishing House. This book was released on 2023-03-29 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning, often known as DL, is an approach to machine learning that is increasingly seen as the way of the future. Because of its impressive power of learning high-level abstract characteristics from enormous amounts of data, DL garners a lot of interest and also has a lot of success in pattern recognition, computer vision, data mining, and knowledge discovery. This is why DL is so successful in these areas. This book will not only seek to give a basic roadmap or direction to the existing deep learning approaches, but it will also highlight the problems and imagine fresh views that can lead to additional advancements in this subject. One of the most talked about topics in data science today is deep learning. Deep learning is a subfield of machine learning that makes use of sophisticated algorithms that take their cues from the way our own neural networks are wired and operate. The goal of this book is to provide a thorough introduction to deep learning, including an examination of its underlying algorithms, a presentation of its most recent theoretical advancements, a discussion of the most popular deep learning platforms and data sets, and an account of the significant advances made by a wide range of deep learning methodologies in areas such as text, video, image, speech, and audio processing.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Author : Arun Solanki
Publisher : Engineering Science Reference
ISBN 13 : 9781522596462
Total Pages : 0 pages
Book Rating : 4.5/5 (964 download)

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Book Synopsis Handbook of Research on Emerging Trends and Applications of Machine Learning by : Arun Solanki

Download or read book Handbook of Research on Emerging Trends and Applications of Machine Learning written by Arun Solanki and published by Engineering Science Reference. This book was released on 2019-12-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the role of machine learning in various applications such as data mining, natural language processing, image recognition, and expert systems"--

Deep Learning Applications and Intelligent Decision Making in Engineering

Author : Senthilnathan, Karthikrajan
Publisher : IGI Global
ISBN 13 : 1799821102
Total Pages : 332 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning Applications and Intelligent Decision Making in Engineering by : Senthilnathan, Karthikrajan

Download or read book Deep Learning Applications and Intelligent Decision Making in Engineering written by Senthilnathan, Karthikrajan and published by IGI Global. This book was released on 2020-10-23 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.