Support vector machines （德）英戈·斯坦沃特（Ingo Steinwart），安德烈亚斯·克里斯
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【预订】Support Vector Machines Applications 9783319343297 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 9783319343297 Author 作者 Yunqian Ma Honeywell Golden Valley MN USA Format 版本 平装-胶订 Pages Number 页数 302页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2016-09-03 Shipping Weight 商品重量 562g Language 语种 英语 Book Contents 内容简介 Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.
¥1948
【预订】Support Vector Machines and Their Application in Chemist 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 9781138381971 Format 版本 平装-胶订 Pages Number 页数 211页 Publisher 出版社 CRC Press Publication Date 出版日期 2018-09-28 Language 语种 其它（含多语） Book Contents 内容简介 Presenting a clear bridge between theory and application, this volume provides a thorough de*ion of the mechanism of support vector machines (SVMs) from the point of view of chemists and biologists. Topics discussed include elements and algorithms of support vector classification (SVC) machines and support vector regression machines (SVR), the kernel function for solving nonlinear problems, ensemble learning of SVMs, applications of SVMs to near-infrared data, SVMs and quantitative structure-activity/property relationships (QSAR/QSPR), quality control of traditional Chinese medicine by means of the chromatography fingerprint technique, and the use of SVMS in exploring the biological data produced
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【预订】Support Vector Machines 9781439857922 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 9781439857922 Author 作者 Naiyang Deng, Yingjie Tian and Chunhua Zhang Format 版本 精装 Pages Number 页数 368页 Publication Date 出版日期 2012-12-17 Shipping Weight 商品重量 635g Language 语种 英语 Book Contents 内容简介 Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs—classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems. They also cover SVMs for Universum, privileged, multi-class, multi-instance, and multi-label classification problems.
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【预订】Support Vector Machines and Evolutionary Algorithms for 美国库房发货，通常付款后3-5周到货！
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【预订】Support Vector Machines Applications 9783319022994 美国库房发货，通常付款后3-5周到货！
¥1948
【预订】Support Vector Machines and Their Application in Chemist 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 9781439821275 Author 作者 Yizeng Liang Format 版本 精装 Pages Number 页数 216页 Publisher 出版社 CRC Press Publication Date 出版日期 2011-05-09 Shipping Weight 商品重量 430g Language 语种 英语 Book Contents 内容简介 Presenting a clear bridge between theory and application, this volume provides a thorough de*ion of the mechanism of support vector machines (SVMs) from the point of view of chemists and biologists. Topics discussed include elements and algorithms of support vector classification (SVC) machines and support vector regression machines (SVR), the kernel function for solving nonlinear problems, ensemble learning of SVMs, applications of SVMs to near-infrared data, SVMs and quantitative structure-activity/property relationships (QSAR/QSPR), quality control of traditional Chinese medicine by means of the chromatography fingerprint technique, and the us
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【预订】Support Vector Machines and Evolutionary Algorithms for 美国库房发货，通常付款后3-5周到货！
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【预订】Support Vector Machines for Pattern Classification 97818 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 9781849960977 Author 作者 Abe Format 版本 精装 Pages Number 页数 473页 Publisher 出版社 Springer London Publication Date 出版日期 2010-03-29 Shipping Weight 商品重量 1900g Language 语种 英语 Book Contents 内容简介 A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by
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【预订】Support Vector Machines 9781489989635 美国库房发货，通常付款后3-5周到货！
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【预订】Support Vector Machines 美国库房发货，通常付款后3-5周到货！
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Support vector machines （德）英戈·斯坦沃特（Ingo Steinwart），安德烈亚斯·克里斯
¥102.70定价：¥139.00 (7.39折)
【预售 按需印刷】Support Vector Machines and Particle Swar 北京发货，付款后10天内发货
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【预订】Support Vector Machines and Perceptrons 9783319410623 美国库房发货，通常付款后3-5周到货！
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支持向量机=Support Vector Machines:英文
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【预订】Twin Support Vector Machines: Models, Extensions and App 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 9783319834627 Format 版本 平装-胶订 Publisher 出版社 Springer Publication Date 出版日期 2018-07-05 Language 语种 英语
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支持向量机=Support Vector Machines:英文【锦园图书】 支持发票 如需请联系在线客服
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支持向量机=Support Vector Machines:英文
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海外直订Least Squares Support Vector Machines 最小二乘支持向量机
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【预售 按需印刷】Using support vector machines in fuzzy classificati
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【预订】Rule Extraction from Support Vector Machines 97836420946 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 9783642094637 Author 作者 Joachim Diederich Format 版本 平装-胶订 Pages Number 页数 262页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2010-11-23 Shipping Weight 商品重量 427g Language 语种 英语 Book Contents 内容简介 Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a comprehensible form, the process by which a learning result was reached. Hence, the situation is similar to neural networks, where the apparent lack of an explanation capability has led to various approaches aiming at extracting symbolic rules from neural networks. For SVMs to gain a wider degree of acceptance in fields such as
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【预售 按需印刷】Learning with Support Vector Machines
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