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1 - 12 de 12 resultados para “zhuolin li”
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  • Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

    Theories, Methods and Applications

    de Zhen Zhang, Wenyu Yu, Zhuolin Li ...
    Series series Business and Management (R0)
    This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic ... Leer más

    $161.99 USD

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  • Understanding Deep Learning

    de Simon J.D. Prince ...
    An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent ... Leer más

    $54.99 USD

  • Machine Learning

    A Constraint-Based Approach

    de Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Leer más

    $71.99 USD

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    de Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Leer más

    $27.99 USD

  • 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

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    de Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Leer más

    $46.99 USD

  • Statistical Machine Translation

    de Philipp Koehn ...
    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks ... Leer más

    $80.99 USD

  • Fuzzy Sets and Systems

    Theory and Applications

    de Didier J. Dubois ...
    Fuzzy Sets and Systems: Theory and Applications provides a comprehensive research monography that cover all of the important developments in the theory of fuzzy sets and their applications that have taken place during the past several years. ... Leer más

    $65.99 USD

  • Computation, Cryptography, and Network Security

    Edición de Nicholas J. Daras, Michael Th. Rassias ...
    Series series Mathematics and Statistics (R0)
    Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions ... Leer más

    $89.99 USD

  • Graph Representation Learning

    de William L. Hamilton ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism.Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for ... Leer más

    $43.99 USD

  • Data Processing for the AHP/ANP

    de Daji Ergu, Yong Shi, Gang Kou, Yi Peng ...
    Series series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... Leer más

    $49.99 USD