Heterogeneous Graph Representation Learning and Applications, Shi
Автор: Hamilton, William L. Название: Graph Representation Learning ISBN: 3031004604 ISBN-13(EAN): 9783031004605 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Michel Chein; Marie-Laure Mugnier Название: Graph-based Knowledge Representation ISBN: 1849967695 ISBN-13(EAN): 9781849967693 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.
Автор: Zhengming Ding; Handong Zhao; Yun Fu Название: Learning Representation for Multi-View Data Analysis ISBN: 3030007332 ISBN-13(EAN): 9783030007331 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Описание: This book discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects.
Автор: Chaudhury, Santanu , Mallik, Anupama , Ghosh, Hi Название: Multimedia Ontology ISBN: 0367445824 ISBN-13(EAN): 9780367445829 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Нет в наличии.
Описание:
The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled.
The book contains information that helps with building semantic, content-based search and retrieval engines and also with developing vertical application-specific search applications. It guides you in designing multimedia tools that aid in logical and conceptual organization of large amounts of multimedia data. As a practical demonstration, it showcases multimedia applications in cultural heritage preservation efforts and the creation of virtual museums.
The book describes the limitations of existing ontology techniques in semantic multimedia data processing, as well as some open problems in the representations and applications of multimedia ontology. As an antidote, it introduces new ontology representation and reasoning schemes that overcome these limitations. The long, compiled efforts reflected in Multimedia Ontology: Representation and Applications are a signpost for new achievements and developments in efficiency and accessibility in the field.
Автор: Murty Название: Representation in Machine Learning ISBN: 9811979073 ISBN-13(EAN): 9789811979071 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both theory and practice, when they are confronted with the huge size of the underlying data. Solutions to this problem are aptly covered in the book. In addition, the book covers a wide range of representation techniques that are important for academics and ML practitioners alike, such as Locality Sensitive Hashing (LSH), Distance Metrics and Fractional Norms, Principal Components (PCs), Random Projections and Autoencoders. Several experimental results are provided in the book to demonstrate the discussed techniques’ effectiveness.
Автор: Lavra? Название: Representation Learning ISBN: 3030688194 ISBN-13(EAN): 9783030688196 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph addresses advances in representation learning, a cutting-edge research area of machine learning.
Автор: Kumar Avadhesh, Sagar Shrddha, Kumar T. Ganesh Название: Prediction and Analysis for Knowledge Representation and Machine Learning ISBN: 0367649101 ISBN-13(EAN): 9780367649104 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning).
Автор: Cimiano Philipp, Chiarcos Christian, McCrae John P. Название: Linguistic Linked Data: Representation, Generation and Applications ISBN: 303030227X ISBN-13(EAN): 9783030302276 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Introduction.- 2 Preliminaries.- 3 Linguistic Linked Open Data Cloud.- 4 Modelling lexical resources as Linked Data.- 5 Representing annotated texts as RDF.- 6 Modelling linguistic annotations.- 7 Modelling metadata of language resources.- 8 Linguistic Categories.- 9 Converting language resources into Linked Data.- 10 Link Representation and Discovery.- 11 Linked Data-based NLP Workflows.- 12 Applying linked data principles to linking multilingualWordnets.- 13 Linguistic Linked Data in Digital Humanities.- 14 Discovery of language resources.- 15 Conclusion.
Описание: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020.
Описание: In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. This work presents a new approach to linking the realms of lexical semantics and knowledge represented in a description logic.
Автор: Liu Zhiyuan, Lin Yankai, Sun Maosong Название: Representation Learning for Natural Language Processing ISBN: 9811555753 ISBN-13(EAN): 9789811555756 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
