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Author: Andreas Brieden
Publisher: Springer Nature
ISBN: 3031468260
Category :
Languages : en
Pages : 204
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Book Description
Author: Andreas Brieden
Publisher: Springer Nature
ISBN: 3031468260
Category :
Languages : en
Pages : 204
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Book Description
Author: Masami Ito
Publisher: World Scientific
ISBN: 9814556289
Category :
Languages : en
Pages : 610
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Book Description
The topics included in this proceedings cover both mathematics and computer science. They include Codes, Free Monoids, Transformation Semigroups, Automata, Formal Languages, Word Problems, Orders and Combinatorics. Attention is paid to the algebraic theories of codes and rewriting systems, which are the key subjects that combine these two fields. The number of papers in the proceedings exceeds 45 and all papers have been refereed.
Author: Carlos Martín-Vide
Publisher: Springer
ISBN: 3030134350
Category : Computers
Languages : en
Pages : 474
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Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Language and Automata Theory and Applications, LATA 2019, held in St. Petersburg, Russia, in March 2019. The 31 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 98 submissions. The papers cover the following topics: Automata; Complexity; Grammars; Languages; Graphs, trees and rewriting; and Words and codes.
Author: Michael Kaufmann
Publisher: Springer Science & Business Media
ISBN: 3540420622
Category : Business & Economics
Languages : en
Pages : 325
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Book Description
Graph drawing is a dynamic and rapidly growing subfield of computer science and mathematics. It comprises all aspects of visualizing structural relations between objects. The range of topics dealt with extends from graph theory, graph algorithms, geometry, and topology to visual languages, visual perception, and information visualization, and to computer-human interaction and graphics design. The automated generation of graph drawings has important consequences for many subfields of computer science as well as for a broad variety of interdisciplinary application fields. This monograph gives a systematic overview of graph drawing and introduces the reader gently to the state of the art in the area. The presentation concentrates on algorithmic aspects, with an emphasis on interesting visualization problems with elegant solutions. Much attention is paid to a uniform style of writing and presentation, consistent terminology, and complementary coverage of the relevant issues throughout the 10 chapters. An overview of existing graph drawing systems, a comprehensive bibliography, and a subject index round off the presentation. This tutorial is ideally suited as an introduction for newcorners to graph drawing. Ambitioned practitioners and researchers active in the area will find it a valuable source of reference and information.
Author: Gary Chartrand
Publisher: Courier Corporation
ISBN: 0486297306
Category : Mathematics
Languages : en
Pages : 466
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Book Description
Written by two prominent figures in the field, this comprehensive text provides a remarkably student-friendly approach. Its sound yet accessible treatment emphasizes the history of graph theory and offers unique examples and lucid proofs. 2004 edition.
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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Book Description
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.
Author: Buren Zheng
Publisher: Springer Science & Business Media
ISBN: 3642171869
Category : Computers
Languages : en
Pages : 642
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Book Description
This book constitutes the refereed proceedings of the 6th Asia Information Retrieval Symposium, AIRS 2010, held in Taipei, Taiwan, in December 2010. The 26 revised full papers and 31 revised poster papers presented were carefully reviewed and selected from 120 submissions. All current aspects of information retrieval - in theory and practice - are addressed; the papers are organized in topical sections on information retrieval models, machine learning for information retrieval, user studies and evaluation, natural language processing for information retrieval, Web and question answering, and multimedia.
Author: Jon Moon
Publisher: Pearson UK
ISBN: 0273741861
Category : Education
Languages : en
Pages : 297
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Book Description
Clear information shows clear thinking, and clear thinking informs, influences and impresses. How often do you stare at uninviting and confusing presentations, notes, reports and information packs and get nothing out of them? It doesn’t have to be like this. We could all produce amazingly clear work that has incredible impact – if only we knew how. This book shows you how. It is full of ideas, tips and principles that are simple and easy to implement, yet brilliantly effective.You will never look at a business document in the same way again. And your work will impress the people that matter and get the results you want. It guides you through the most effective ways of using all forms of presenting information - tables, charts, slides, flowcharts, etc. Moon also introduces the new WiT (Words in Tables) approach to give impact to your message on all documents and slides. “I love Jon’s work. His tips are hugely useful, his WiT fantastic and ground-breaking, and his book essential reading. If you want to enhance your sales tenders, pitches and slides – if you want to win more business – get into Jon’s stuff. It’s really, really good.” Gavin Duffy, a Dragon on Ireland’s “Dragons’ Den”, top media coach and economics columnist with the Irish Sunday Independent "Every once in a while, simple ideas change business forever - this book is full of such ideas. A must-read if you want to do something about all those impenetrable reports, slides and information packs. This book has all the answers and will redefine how you think about business documents." Dominic Burke, Chief Executive, Jardine Lloyd Thompson Group plc. "This is a vital topic that has been sorely neglected. Jon’s book changes that. It is crammed with new ideas that are creative, thoughtful, yet practical and relevant for all disciplines of business. Essential reading for everyone in business! " Dr Jikyeong Kang, Professor of Marketing and Director of MBA Programmes, Manchester Business School. "I’ve seen Jon’s talk and his ideas are full of originality and wisdom. Many ideas are stunningly simple, others are mould breaking. He takes preconceived thinking and turns it on his head. Your business reporting will never be the same again. " Michael Izza, Chief Executive ICAEA.
Author: Mehmet Çakırtaş
Publisher: Springer Nature
ISBN: 3030670449
Category : Mathematics
Languages : en
Pages : 246
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Book Description
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
Author: Jean-Claude Junqua
Publisher: Springer Science & Business Media
ISBN: 9401597197
Category : Language Arts & Disciplines
Languages : en
Pages : 277
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Book Description
In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately. Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.
