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1-12 sur 12 résultats pour « han bao »
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  • Machine Learning from Weak Supervision

    An Empirical Risk Minimization Approach

    par Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...
    Collections 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 ... En savoir plus

    $67.99 CAD

  • The Fundamental Issues upon Criminal Law Theories

    par Mingkai Zhang ...
    Traduit par Sun Lin, Jiang Su, Bao Han, Yue Lei, Zheng Daxuan ...
    Collections series Law and Criminology (R0)
    This book mainly adopts the theoretical analysis approach for the argument regarding issues in criminal law. As one of the most influential scholars in criminal law research in China, with his profound knowledge and experiences in criminal law research, the author Professor Mingkai Zhang, has made in-depth argument demonstrating matters in the field, covering the basis of illegality and ... En savoir plus

    $230.99 CAD

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  • Causal Inference in Statistics

    A Primer

    par 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 ... En savoir plus

    $53.99 CAD

  • Between Facts and Norms

    Contributions to a Discourse Theory of Law and Democracy

    par Jürgen Habermas ...
    This is Habermas's long awaited work on law, democracy and the modern constitutional state in which he develops his own account of the nature of law and democracy. ... En savoir plus

    $33.99 CAD

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    par Bradley Efron, Trevor Hastie ...
    Collections Livre 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... En savoir plus

    $81.59 CAD

  • Moral Feelings, Moral Reality, and Moral Progress

    par Thomas Nagel ...
    This volume presents two closely related essays by Thomas Nagel: “Gut Feelings and Moral Knowledge” and “Moral Reality and Moral Progress.” Both essays are concerned with moral epistemology and our means of access to moral truth; both are concerned with moral realism and with the resistance to subjectivist and reductionist accounts of morality; and both are concerned with the historical ... En savoir plus

    $20.39 CAD

  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    par Richard E. Neapolitan, Xia Jiang ...
    Collections 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 ... En savoir plus

    $86.99 CAD

  • Markov Models: An Introduction to Markov Models

    par Steven Taylor ...
    Markov ModelsThis book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling.Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrenc... ... En savoir plus

    $5.99 CAD ou Gratuit avec Kobo Plus

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    par Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    Collections 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 ... En savoir plus

    $51.99 CAD

  • The Oxford Handbook of Language and Law

    Modifié par Peter M. Tiersma, Lawrence M. Solan ...
    Collections series Oxford Handbooks
    This book provides a state-of-the-art account of past and current research in the interface between linguistics and law. It outlines the range of legal areas in which linguistics plays an increasing role and describes the tools and approaches used by linguists and lawyers in this vibrant new field. Through a combination of overview chapters, case studies, and theoretical descriptions, the volume ... En savoir plus

    $43.99 CAD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    par Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    Collections 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 ... En savoir plus

    $57.19 CAD

  • Neural Network Methods in Natural Language Processing

    par Yoav Goldberg, Graeme Hirst ...
    Collections 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. ... En savoir plus

    $65.99 CAD