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    Learning Theory: An Approximation Theory Viewpoint - 图书

    导演:Felipe Cucker
    The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the fir...(展开全部)
    Learning Theory: An Approximation Theory Viewpoint
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    An Introduction to Computational Learning Theory - 图书

    导演:Michael J·Kearns
    Authors introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. DLC: Machine learning.
    An Introduction to Computational Learning Theory
    搜索《An Introduction to Computational Learning Theory》
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    An Introduction to Computational Learning Theory - 图书

    导演:Michael J·Kearns
    Authors introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. DLC: Machine learning.
    An Introduction to Computational Learning Theory
    搜索《An Introduction to Computational Learning Theory》
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    Statistical Learning Theory - 图书

    1998
    导演:Vladimir N. Vapnik
    Statistical Learning Theory
    搜索《Statistical Learning Theory》
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    Statistical Learning Theory - 图书

    1998
    导演:Vladimir N. Vapnik
    Statistical Learning Theory
    搜索《Statistical Learning Theory》
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    Social Learning Theory - 图书

    1976
    导演:Albert Bandura
    An exploration of contemporary advances in social learning theory with special emphasis on the important roles played by cognitive, vicarious, and self-regulatory processes.
    Social Learning Theory
    搜索《Social Learning Theory》
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    Variational Bayesian Learning Theory - 图书

    导演:Shinichi Nakajima
    Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.
    Variational Bayesian Learning Theory
    搜索《Variational Bayesian Learning Theory》
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    Algebra: From the Viewpoint of Galois Theory - 图书

    2018
    导演:Siegfried Bosch
    The material presented here can be divided into two parts. The first, sometimes referred to as abstract algebra, is concerned with the general theory of algebraic objects such as groups, rings, and fields, hence, with topics that are also basic for a number of other domains in mathematics. The second centers around Galois theory and its applications. Historically, this theory o...(展开全部)
    Algebra: From the Viewpoint of Galois Theory
    搜索《Algebra: From the Viewpoint of Galois Theory》
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    Queer Theory: An Introduction - 图书

    导演:Annamarie Jagose
    Annamarie Jagose knows that queer theory did not spring full- blown from the head of any contemporary theorist. It is the outcome of many different influences and sources, including the homophile movement, gay liberation, and lesbian feminism. In pointing to the history of queer theory--a history that all too often is ignored or elided--Jagose performs a valuable service.--Henr...(展开全部)
    Queer Theory: An Introduction
    搜索《Queer Theory: An Introduction》
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    Model Theory: An Introduction - 图书

    2002
    导演:David Marker
    This book is a modern introduction to model theory which stresses applications to algebra throughout the text. The first half of the book includes classical material on model construction techniques, type spaces, prime models, saturated models, countable models, and indiscernibles and their applications. The author also includes an introduction to stability theory beginning ...(展开全部)
    Model Theory: An Introduction
    搜索《Model Theory: An Introduction》
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