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Showing 1 - 12 of 12 results for “meng jiang”
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  • Deep Learning for Polymer Discovery

    Foundation and Advances

    by Gang Liu, Eric Inae, Meng Jiang ...
    Series series Synthesis Collection of Technology (R0)
    This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time ... Read more

    $40.49 USD

  • Knowledge-augmented Methods for Natural Language Processing

    by Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu ...
    Series series Computer Science (R0)
    Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, ... Read more

    $44.99 USD

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  • Principles Of Artificial Neural Networks (3rd Edition)

    by Daniel Graupe ...
    Series Book 7 - Advanced Series In Circuits And Systems
    Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications ... Read more

    $41.39 USD

  • Representation Learning for Natural Language Processing

    Edited by Zhiyuan Liu, Yankai Lin, Maosong Sun ...
    Series series Computer Science (R0)
    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training ... Read more

    Free

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    by Nazmul Siddique, Hojjat Adeli ...
    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Read more

    $121.00 USD

  • Representation Learning for Natural Language Processing

    by 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 ... Read more

    Free

  • The Science of Deep Learning

    by Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Read more

    $54.99 USD

  • Foundations of Semantic Communication Networks

    Edited by Walid Saad, Christina Chaccour, Christo Kurisummoottil Thomas, Merouane Debbah ...
    Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner. The traditional incremental approach to network design is ... Read more

    $111.00 USD

  • Complex-Valued Neural Networks

    Advances and Applications

    Edited by Akira Hirose ...
    Series Book 18 - IEEE Press Series on Computational Intelligence
    Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed ... Read more

    $122.00 USD

  • Machine Translation

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

    Edited by 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 ... Read more

    $49.49 USD

  • Neural Networks and Statistical Learning

    by Ke-Lin Du, M. N. S. Swamy ...
    Series series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... Read more

    $107.09 USD

  • Social Media Processing

    5th National Conference, SMP 2016, Nanchang, China, October 29–30, 2016, Proceedings

    Edited by Yuming Li, Guoxiong Xiang, Hongfei Lin, Mingwen Wang ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the thoroughly refereed proceedings of the 5th National Conference of Social Media Processing, SMP 2016, held in Nanchang, China, in October 2016.The 24 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers address issues such as: mining social media and applications; natural language processing; data mining; information retrieval ... Read more

    $49.49 USD