预订 Algorithmic Learning in a Random World [ISBN:978038700152 【全球购】进口原版图书,约5-8周到达国内后发出
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预订 Algorithmic Learning in a Random World [ISBN:978303106651 【全球购】进口原版图书,约5-8周到达国内后发出
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【预订】Algorithmic Learning in a Random World 美国库房发货,通常付款后3-5周到货!
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预订 Game-Theoretic Foundations for Probability and Finance [I 【全球购】进口原版图书,约5-8周到达国内后发出
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海外直订Algorithmic Learning in a Random World 随机世界中的算法学习
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预订Donetsk airport. Reference history:Vol. 2. Cyborgs 预订,预计下单后3-6周左右发货!
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【预订】Algorithmic Learning in a Random World 9783031066511 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783031066511 Author 作者 Vladimir Vovk Format 版本 平装-胶订 Pages Number 页数 476页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-12-14 Product Dimensions 商品尺寸 9.21 x 6.14 x 1.01 Shipping Weight 商品重量 1.54磅 Language 语种 其它(含多语) Book Contents 内容简介 This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described — conformal predictors — are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter being especially dangerous). The approach is still flexible enough to incorporate most of the exi
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预订 Measures of Complexity 9783319357782 海外仓库发货,通常付款后4-9周到货!
图书信息 书号: 9783319357782 作者: Vladimir Vovk 装帧: 平装-胶订 页数: 399页 出版社: Springer International Publishing 尺寸: 22.9 x 15.2 x 2.5 cm 出版日期: 2016-10-22 重量: 454g 语种: 其它(含多语)
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【预订】Algorithmic Learning in a Random World 9781441934710 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9781441934710 Author 作者 Vovk Format 版本 平装-胶订 Pages Number 页数 324页 Publication Date 出版日期 2010-10-29 Language 语种 英语 Book Contents 内容简介 Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov’s algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describ
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海外直订Algorithmic Learning in a Random World 随机世界中的算法学习
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海外直订Algorithmic Learning in a Random World 随机世界中的算法学习
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【预订】Algorithmic Learning in a Random World 9783031066481 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783031066481 Author 作者 Vladimir Vovk Format 版本 精装 Pages Number 页数 546页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-10-11 Language 语种 其它(含多语) Book Contents 内容简介 This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described — conformal predictors — are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter being especially dangerous). The approach is still flexible enough to incorporate most of the existing powerful methods of machine learning. The book covers both key conformal predictors and the mathemati
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