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Advances in Machine Learning Applications in Software Engineering

2006-10-31 Computers
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Release : 2006-10-31
Genre : Computers
Kind : eBook
Book Rating : 438/5 ( reviews)

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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. This book was released on 2006-10-31. 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.

Machine Learning Applications In Software Engineering

2005-02-21 Computers
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Release : 2005-02-21
Genre : Computers
Kind : eBook
Book Rating : 424/5 ( reviews)

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Book Synopsis Machine Learning Applications In Software Engineering by : Du Zhang

Download or read book Machine Learning Applications In Software Engineering written by Du Zhang. This book was released on 2005-02-21. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.

Machine Learning

2017 Machine learning
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Release : 2017
Genre : Machine learning
Kind : eBook
Book Rating : 702/5 ( reviews)

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Book Synopsis Machine Learning by : Roger Inge

Download or read book Machine Learning written by Roger Inge. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: In chapter one, Lei Jia, PhD and Hua Gao, PhD analyze machine learning applications in small molecule and macromolecule drug discovery and development while comparing the similarities and differences between the two. They also examine their advantages and limitations with the intent to encourage further creative machine learning applications in drug discovery and development. During chapter two, Oscar Claveria, Enric Monte, and Salvador Torra present a study on the extrapolative performance of several machine learning models in a multiple-input multiple-output setting that permits cross-correlation between the inputs. Bojan Ploj, Germano Resconi, and Ali Yaghoubi parallel the solution of a system by logic gates and by a neural network, in which considerations are computed by the designated one step method during chapter three. In chapter four, Loris Nannia, Nicolò Zaffonatoa, Christian Salvatoreb, Isabella Castiglionib, and the Alzheimers Disease Neuroimaging Initiative propose a method that could aid in the early diagnosis of Alzheimers disease. Afterwards, F. Dornaika and I. Kamal Aldine present and experimentally assess two non-linear data self-representativeness coding schemes based on Hilbert space and column generation. Lastly, Christos Chrysoulas, Grigorios Kalliatakis, and Georgios Stamatiadis give an overview of Apache Hadoop, an open-source software framework used to distribute storage and process big data using the MapReduce programming model.

Artificial Intelligence, Computer and Software Engineering Advances

2021-04-20 Technology & Engineering
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Release : 2021-04-20
Genre : Technology & Engineering
Kind : eBook
Book Rating : 800/5 ( reviews)

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Book Synopsis Artificial Intelligence, Computer and Software Engineering Advances by : Miguel Botto-Tobar

Download or read book Artificial Intelligence, Computer and Software Engineering Advances written by Miguel Botto-Tobar. This book was released on 2021-04-20. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering

Handbook on Artificial Intelligence-Empowered Applied Software Engineering

2022-09-03 Technology & Engineering
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Release : 2022-09-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 028/5 ( reviews)

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Book Synopsis Handbook on Artificial Intelligence-Empowered Applied Software Engineering by : Maria Virvou

Download or read book Handbook on Artificial Intelligence-Empowered Applied Software Engineering written by Maria Virvou. This book was released on 2022-09-03. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured overview of artificial intelligence-empowered applied software engineering. 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 towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. 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.

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