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Showing 1 - 12 of 12 results for “david blei”
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  • Handbook of Mixed Membership Models and Their Applications

    Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg ...
    Series series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    Incorporating more than 20 years of the editors' and contributors' statistical work in mixed membership modeling, this handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and ... Read more

    $101.99 USD

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  • Causal Inference in Statistics

    A Primer

    by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... Read more

    $42.00 USD

  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    by Richard E. Neapolitan, Xia Jiang ...
    Series series Chapman & Hall/CRC Artificial Intelligence and Robotics Series
    The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.The book is divided into five ... Read more

    $59.99 USD

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    by 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 ... Read more

    $27.99 USD

  • The Handbook of Computational Linguistics and Natural Language Processing

    Edited by Alexander Clark, Chris Fox, Shalom Lappin ...
    Series series Blackwell Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Read more

    $46.00 USD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    by 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 ... Read more

    $46.79 USD

  • Probabilistic Machine Learning

    Advanced Topics

    by Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics ... Read more

    $92.99 USD

  • Experimental Design

    Procedures for the Behavioral Sciences

    by Roger E. Kirk ...
    This classic text, with a reputuation for accessibility and readability, has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface ... Read more

    $141.29 USD

  • Machine Learning from Weak Supervision

    An Empirical Risk Minimization Approach

    by Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...
    Series series Adaptive Computation and Machine Learning series
    Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi ... Read more

    $39.99 USD

  • The Oxford Handbook of Applied Bayesian Analysis

    Edited by Anthony O' Hagan, Mike West ...
    Series series Oxford Handbooks
    Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, ... Read more

    $48.99 USD

  • Fuzzy Sets and Systems

    Theory and Applications

    by 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. ... Read more

    $65.69 USD

  • Handbook of Temporal Reasoning in Artificial Intelligence

    Edited by Michael David Fisher, Dov M. Gabbay, Lluis Vila ...
    Series Book 1 - Foundations of Artificial Intelligence
    This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence. Yet, until now, there has been no single volume collecting together the breadth of work in this area. This collection brings together the leading researchers ... Read more

    $233.99 USD