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Graph Learning for Fashion Compatibility Modeling

de Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie ...

Series series eBColl Synthesis Collection 11
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. Due to its remarkable economic value, fashion compatibility modeling has gained increasing research attention in recent years. Although great efforts have ... Leer más

$67.99 USD

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. Due to its remarkable economic value, fashion compatibility modeling has gained increasing research attention in recent years. Although great efforts have
... Leer más

Neural Network Methods in Natural Language Processing

de Yoav Goldberg, Graeme Hirst ...

Series series Synthesis Lectures on Human Language Technologies
Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Leer más

$53.99 USD

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words.
... Leer más
Representation Learning for Natural Language Processing

de Zhiyuan Liu, Yankai Lin, Maosong Sun ...

Series series Computer Science (R0)
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those ... Leer más

Gratis

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those
... Leer más
Hypergraph Computation

de Qionghai Dai, Yue Gao ...

Series series Computer Science (R0)
This open access book discusses the theory and methods of hypergraph computation.Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly ... Leer más

Gratis

This open access book discusses the theory and methods of hypergraph computation.Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly
... Leer más
Feature Engineering for Machine Learning and Data Analytics

Edición de Guozhu Dong, Huan Liu ...

Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a ... Leer más

$66.99 USD

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a
... Leer más
Machine Translation

13th China Workshop, CWMT 2017, Dalian, China, September 27-29, 2017, Revised Selected Papers

Edición de Deyi Xiong, Derek F. Wong ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017.The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post ... Leer más

$49.99 USD

This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017.The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post
... Leer más
Heterogeneous Graph Representation Learning and Applications

de Chuan Shi, Xiao Wang, Philip S. Yu ...

Series series Computer Science (R0)
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple ... Leer más

$152.99 USD

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple
... Leer más
Automated Taxonomy Discovery and Exploration

de Jiaming Shen, Jiawei Han ...

Series series eBColl Synthesis Collection 11
This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today’s information era, people are inundated with the vast amounts of text data. Despite their ... Leer más

$53.99 USD

This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today’s information era, people are inundated with the vast amounts of text data. Despite their
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Robust Representation for Data Analytics

Models and Applications

de Sheng Li, Yun Fu ...

Series series Computer Science (R0)
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, ... Leer más

$107.99 USD

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace,
... Leer más
Database Systems for Advanced Applications

28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part III

Edición de Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin ...

Series Libro 3 - Springer Nature Proceedings Computer Science
The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 ... Leer más

$98.99 USD

The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15
... Leer más
Transfer Learning through Embedding Spaces

de Mohammad Rostami ...

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated.This success, however, is conditioned on availability of huge annotated datasets ... Leer más

$69.99 USD

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated.This success, however, is conditioned on availability of huge annotated datasets
... Leer más
Multi-modal Hash Learning

Efficient Multimedia Retrieval and Recommendations

de Lei Zhu, Jingjing Li, Weili Guan ...

Series series Synthesis Collection of Technology (R0)
This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing ... Leer más

$40.99 USD

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing
... Leer más

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Graph Learning for Fashion Compatibility Modeling

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Neural Network Methods in Natural Language Processing

Representation Learning for Natural Language Processing

Hypergraph Computation

Feature Engineering for Machine Learning and Data Analytics

Machine Translation

Heterogeneous Graph Representation Learning and Applications

Automated Taxonomy Discovery and Exploration

Robust Representation for Data Analytics

Database Systems for Advanced Applications

Transfer Learning through Embedding Spaces

Multi-modal Hash Learning

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