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metric learning
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metric learning
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理学
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metric learning
度量学习
一系列自动从数据中学习相似度或距离函数的方法,最初由Eric Xing等人于2002年提出,用于在具有弱监督信息的环境下辅助聚类。
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two-sided condition
two-sided constraint
two-sided decomposition
two-sided derivative
two-sided distribution
two-sided divisor
two-sided divisor of zero
two-sided element
two-sided estimate
two-sided estimation
two-sided exponential distribution
two sided extremum principle
two-sided extremum principle
two-sided generator
two-sided hypersurface
two-sided hypothesis
two sided hypothesis test problem
two-sided hypothesis test problem
two sided ideal
two-sided ideal
two-sided identity
two-sided identity element
two-sided inequality
two-sided invariant mean
two-sided inverse
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