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中图分类法:
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TP181 版次： |
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著者:
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Kung, S. Y. |
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题名:
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Kernel methods and machine learning / / , |
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出版发行:
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出版地： Cambridge ; 出版社： Cambridge University Press, 出版日期： 2014. |
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载体形态:
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xxiv, 591 pages : illustrations; 26 cm |
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内容提要:
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"Provides an overview of the broad spectrum of applications and problem formulations for kernel-based unsupervised and supervised learning methods. The dimension of the original vector space, along with its Euclidean inner product, often proves to be highly inadequate for complex data analysis. In order to provide a more e |
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主题词:
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Support vector machines. |
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主题词:
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Machine learning. |
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主题词:
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Kernel functions. |
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索书号:
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1 |