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Thisbookisourattempttobringtogethermanyoftheimportantnewideasinlearning-andexplaintheminastatisticalframework.Whilesomemathematicaldetailsareneeded-weemphasizethemethodsandtheirconceptualunderpinningsratherthantheirtheoreticalproperties.Asaresult-wehopethatthisbookwillappealnotjusttostatisticiansbutalsotoresearchersandpractitionersinawidevarietyoffields.
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Product Details 基本信息 ISBN-13 书号 9781138978218 Author 作者 Edited by Reid Hastie Format 版本 平装-胶订 Pages Number 页数 320页 Publisher 出版社 Psychology Press Publication Date 出版日期 2015-12-21 Shipping Weight 商品重量 589g Language 语种 英语 Book Contents 内容简介 Originally published in 1980, this title came about after many late night discussions between the authors during a 3-week workshop on Mathematical Approaches to Person Perception in 1974. They concluded that an adequate theory of social memory was the necessary foundation for solutions to many questions concerning social perception and judgment that had dominated the workshop. This volume summarizes work conducted between 1974 and 1979 on social memory by these authors.In addition to six chapters summarizing individual research programs, the volume includes a general introduction and a concluding theoretical integration.
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Product Details 基本信息 ISBN-13 书号 9781412959032 Author 作者 Reid Hastie and Robyn M Dawes Format 版本 平装-胶订 Pages Number 页数 392页 Publication Date 出版日期 2010-01-28 Shipping Weight 商品重量 454g Language 语种 英语 Book Contents 内容简介 The award-winning introduction now has more on the role of emotions, happiness and general well-being in decision making; research on the neuroscience of decision processes; and more on the adaptive value of non-rational heuristics.
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Statistical Learning with Sparsity
Product Details 基本信息 ISBN-13 书号 9780367738334 Author 作者 TrevorHastie Pages Number 页数 368页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 20201218 Product Dimensions 商品尺寸 0 x 0 x 0 cm Shipping Weight 商品重量 680 Book Description 内容简介 Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation. They discuss the application ofl 1 penalties to generalized linear models and support vector machines, cover generalized pen
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统计学习基础 (美)哈斯蒂(Hastie,T) 世界图书出版公司【正版书】 正版图书,下单前请先咨询客服,欢迎选购!
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海外直订Materials Chemistry at High Temperatures: Characterizati
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统计学习基础(第2版)(英文) (德)黑斯蒂(Hastie T.) 世界图书出版公司【正版】 正版图书,下单前请先咨询客服,欢迎选购!
Thisbookisourattempttobringtogethermanyoftheimportantnewideasinlearning-andexplaintheminastatisticalframework.Whilesomemathematicaldetailsareneeded-weemphasizethemethodsandtheirconceptualunderpinningsratherthantheirtheoreticalproperties.Asaresult-wehopethatthisbookwillappealnotjusttostatisticiansbutalsotoresearchersandpractitionersinawidevarietyoffields.
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统计学习基础(第2版)(英文) 【店主推荐,正版书放心购买,可开发票】
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Product Details 基本信息 ISBN-13 书号 9781857756289 Author 作者 Anne Hastie Format 版本 平装-胶订 Pages Number 页数 190页 Publisher 出版社 CRC Press Publication Date 出版日期 2005-02-01 Shipping Weight 商品重量 612g Language 语种 英语
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Statistical Learning with Sparsity 9781498712163
Product Details 基本信息 ISBN-13 书号 9781498712163 Author 作者 Trevor Hastie Format 版本 精装 Pages Number 页数 368页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2015-05-07 Shipping Weight 商品重量 771g Language 语种 英语 Book Contents 内容简介 In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generalized penalties, numerical methods for optimization, statistical inference methods for fitted (lasso) models, sparse multivariate analysis, graphical models, compressed sensing, and much more.
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The Elements of Statistical Learning 9780387848570 现货图书
Product Details 基本信息 ISBN-13 书号 9780387848570 Author 作者 Trevor Hastie Stanford University Dept. of Statistics Stan Format 版本 精装 Pages Number 页数 745页 Publisher 出版社 Springer New York Publication Date 出版日期 2009-02-09 Product Dimensions 商品尺寸 16.3 x 23.6 x 3.6 cm Shipping Weight 商品重量 1.2 kg Language 语种 其它(含多语) Book Contents 内容简介 This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing?in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is?a valuable resource for statisticians and anyone interested in data mining in science or industry. The book s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, sup
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