Download or read book The Conceptual Modeling and Automated Use of Reconstructive Accounting Domain Knowlege written by Stephen Raymond Rockwell and published by . This book was released on 1992 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Download or read book American Doctoral Dissertations written by and published by . This book was released on 1992 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Enterprise Information Systems Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2010-09-30 with total page 2042 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume collection, titled Enterprise Information Systems: Concepts, Methodologies, Tools and Applications, provides a complete assessment of the latest developments in enterprise information systems research, including development, design, and emerging methodologies. Experts in the field cover all aspects of enterprise resource planning (ERP), e-commerce, and organizational, social and technological implications of enterprise information systems.
Download or read book Expert Systems in Accounting written by Alex Edwards and published by Prentice Hall. This book was released on 1989 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in Accounting and Auditing written by Mariarita Pierotti and published by Springer Nature. This book was released on with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Culture and Inference written by Edwin Hutchins and published by Harvard University Press. This book was released on 1980 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the changing of seasons and describes how plants and animals adapt to and prepare for these changes.
Download or read book Automated DNA Sequencing and Analysis written by Mark D. Adams and published by Elsevier. This book was released on 1994-06-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely book for DNA researchers, Automated DNA Sequencing and Analysis reviews and assesses the state of the art of automated DNA sequence analysis-from the construction of clone libraries to the developmentof laboratory and community databases. It presents the methodologies and strategies of automated DNA sequence analysis in a way that allows them to be compared and contrasted. By taking a broad view of the process of automated sequence analysis, the present volume bridges the gap between the protocols supplied with instrument and reaction kits and the finalized data presented in the research literature. It will be an invaluable aid to both small laboratories that are interested in taking maximum advantageof automated sequence resources and to groups pursuing large-scale cDNA and genomic sequencing projects. The field of automation in DAN sequencing and analysis is rapidly moving, this book fulfils those needs, reviews the history of the art and provides pointers to future development.
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
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Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
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Download or read book Introduction to Description Logic written by Franz Baader and published by Cambridge University Press. This book was released on 2017-04-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first introductory textbook on description logics, relevant to computer science, knowledge representation and the semantic web.
Download or read book Documentation Abstracts written by and published by . This book was released on 1993 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:
