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1 - 12 de 12 resultados para “xiaojun chang”
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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

  • Monitoring and Modeling of Global Changes: A Geomatics Perspective

    Edición de Xiaojun Yang, Jonathan Li ...
    Series series Earth and Environmental Science (R0)
    The chapters in this book present state-of-the-art geomatics technologies applied in global environmental studies. This text provides the latest research findings and delivers complete references to related publications. This book will motivate the undergraduate and graduate students, researchers and practitioners to better understand the environmental changes with informed solutions.Global Change ... Leer más

    $89.99 USD

  • Advances in Earth Observation of Global Change

    Edición de Xiaojun Yang, Emilio Chuvieco, Jonathan Li ...
    Series series Earth and Environmental Science (R0)
    Global Change studies are increasingly being considered a vital source of information to understand the Earth Environment, in particular in the framework of human-induced climate change and land use transformation. Satellite Earth Observing systems provide a unique tool to monitor those changes. While the range of applications and innovative techniques is constantly increasing, this book provides ... Leer más

    $89.09 USD

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  • 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

  • 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

  • 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

  • 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

  • Mathematical Geosciences

    Hybrid Symbolic-Numeric Methods

    de Joseph L. Awange, Béla Paláncz, Lajos Völgyesi, Robert H. Lewis ...
    This book showcases powerful new hybrid methods that combine numerical and symbolic algorithms. Hybrid algorithm research is currently one of the most promising directions in the context of geosciences mathematics and computer mathematics in general.One important topic addressed here with a broad range of applications is the solution of multivariate polynomial systems by means of resultants and ... Leer más

    $80.99 USD

  • 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

  • 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

  • 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

  • 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