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1 - 12 de 12 resultados para “william l hamilton”
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  • Shaken and Stirred

    Through the Martini Glass and Other Drinking Adventures

    de William L. Hamilton ...
    William L. Hamilton loves a good gimlet. Rose's and lime. Straight up. Perfectly iced. Make the glass pretty too. "It ruined my reputation for thinking before I speak," he writes of that love. "I accept the trade-off." Like Lewis Carroll's Alice, when Hamilton sees it, he drinks it -- and tells the incredible tale.In "Shaken and Stirred," his biweekly Sunday Styles column, now an original book of ... Leer más

    $11.99 USD o gratis con Kobo Plus

  • 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

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  • Pattern Recognition

    de Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Leer más

    $96.99 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

  • Statistical and Machine Learning Approaches for Network Analysis

    de Subhash C. Basak, Matthias Dehmer ...
    Series Libro 707 - Wiley Series in Computational Statistics
    Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book ... Leer más

    $118.00 USD

  • Kernel Methods and Machine Learning

    de S. Y. Kung ...
    Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to ... Leer más

    $98.99 USD

  • Pattern Recognition and Machine Learning

    de Y. Anzai ...
    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the ... Leer más

    $65.99 USD

  • Social Networks with Rich Edge Semantics

    de Quan Zheng, David Skillicorn ...
    Series series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the ... Leer más

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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

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    de 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 ... Leer más

    $121.00 USD

  • Handbook of Constraint Programming

    Edición de Francesca Rossi, Peter van Beek, Toby Walsh ...
    Series series Foundations of Artificial Intelligence
    Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics ... Leer más

    $193.99 USD

  • Pathways to Machine Learning and Soft Computing

    邁向機器學習與軟計算之路（國際英文版）

    de Jyh-Horng Jeng, 鄭志宏 ...
    This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks (ANNs), Radial Basis Function Networks (RBFNs), Fuzzy Neural Networks (FNNs), Support Vector Machines (SVMs), and Wilcoxon Learning Machines (WLMs). The soft computing methods include Genetic ... Leer más

    $6.99 USD o gratis con Kobo Plus