This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores ho...Loe edasi...
Enter the wonderful world of graph algorithms, where you’ll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.Graph Algorithms the Fun Way...Loe edasi...
Solve challenging and computationally intensive analytics problems by leveraging network science and graph algorithms Key Features Learn how to wrangle different types of datasets and analytics problems into networks Leverage g...Loe edasi...
This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling. Du...Loe edasi...
Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered su...Loe edasi...
This comprehensive text features clear exposition on modern algorithmic graph theory presented in a rigorous yet approachable way. It covers the major areas of graph theory, including discrete optimization and its connection to graph algorithms. T...Loe edasi...
Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
Sari: Synthesis Lectures on Information Concepts, Retrieval, and Services
(Ilmumisaeg: 03-Nov-2022, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031188169)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling. Du...Loe edasi...
The main aim of the book is to give a review of all relevant information regarding a well-known and important problem of Feedback Arc Set (FAS). This review naturally also includes a history of the problem, as well as specific algorithms. To this...Loe edasi...
Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive g...Loe edasi...
This book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics. The reader will gain a comprehensive understanding of how to use algorithms...Loe edasi...
The Ground Based Strategic Deterrent program is large and complex and has many interdependent tasks that must proceed efficiently. The authors of this report present novel methods to help program managers avoid rework and reduce schedule ris...Loe edasi...
This book is the first general and extensive review on the algorithmics and mathematical results of beyond planar graphs. Most real-world data sets are relational and can be modelled as graphs consisting of vertices and edges. Planar graphs are funda...Loe edasi...
(Ilmumisaeg: 23-Sep-2021, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781108831741)
This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustne...Loe edasi...
Lowell W. Beineke, Martin Charles Golumbic, Robin J. Wilson
Sari: Encyclopedia of Mathematics and its Applications
(Ilmumisaeg: 03-Jun-2021, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781108492607)
Written by acknowledged international experts in the field, this book presents fifteen expository chapters in the rapidly expanding area of algorithmic graph theory. It serves graduate students and researchers in graph theory, combinatorics and compu...Loe edasi...
The back-up contains a draft of the title page, copyright page, and preface-- The proceedings of the January 2019 conference in Baltimore, which celebrated the 50th anniversary of the National Association of Mathematicians, includes cont...Loe edasi...
This book is the first general and extensive review on the algorithmics and mathematical results of beyond planar graphs. Most real-world data sets are relational and can be modelled as graphs consisting of vertices and edges. Planar graphs are funda...Loe edasi...
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used i...Loe edasi...
A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the c...Loe edasi...
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold comple...Loe edasi...
