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Top Series in United States

Showing 1 - 12 of 12 results for “yuzhu wu”
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  • Distributed Linguistic Representations and Decision Making

    by Yuzhu Wu, Yucheng Dong ...
    Series series Business and Management (R0)
    This book provides a comprehensive perspective on the development of distributed linguistic representations in decision making, including the taxonomy of existing distributed linguistic representations, the key elements, and the classifications. It systematically investigates the formation of distributed linguistic representations and the methodology for the distributed linguistic information ... Read more

    $143.09 USD

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  • Machine Learning

    A Constraint-Based Approach

    by 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 ... Read more

    $71.09 USD

  • Computation, Cryptography, and Network Security

    Edited by 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 ... Read more

    $89.09 USD

  • Information Theory

    Coding Theorems for Discrete Memoryless Systems

    by Imre Csiszár, János Körner ...
    Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of ... Read more

    $50.09 USD

  • Graph Representation Learning

    by 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 ... Read more

    $43.19 USD

  • Artificial Intelligence and Causal Inference

    by Momiao Xiong ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major ... Read more

    $66.99 USD

  • Data Processing for the AHP/ANP

    by 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 ... Read more

    $49.49 USD

  • Sparse Coding And Its Applications In Computer Vision

    by Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Thomas S Huang, Ding Liu, Yingzhen Yang ...
    This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks ... Read more

    $36.89 USD

  • Foundations of Deep Learning

    by Fengxiang He, Dacheng Tao ...
    Series series Artificial Intelligence (R0)
    Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep learning makes almost all existing tools vacuous. This irreconciliation considerably undermines the ... Read more

    $134.09 USD

  • Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

    International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks

    Edited by Lev Rozonoer, Boris Mirkin, Ilya Muchnik ...
    Series series Computer Science (R0)
    This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.The 12 revised full papers and 4 short papers included in this volume were presented at the conference "Braverman Readings in Machine Learning: Key Ideas from Inception to Current State" held in Boston, MA, USA, in April 2017, commemorating the 40th ... Read more

    $49.49 USD

  • Quotient Space Based Problem Solving

    A Theoretical Foundation of Granular Computing

    by Ling Zhang, Bo Zhang ...
    Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. - Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of ... Read more

    $116.99 USD

  • Statistical Analysis of Networks

    by Konstantin Avrachenkov, Maximilien Dreveton ...
    The ebook edition of this title is Open Access and freely available to read online.This book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and ... Read more

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