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度量学习
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度量学习
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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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linear stochastic estimation
linear strain
linear-strategy automaton
linear string of symbols
linear structure
linear submanifold
linear subsemigroup
linear subspace
linear substitution
linear subsystem
linear subvariety
linear summation method
linear superposition
linear sweep oscillographic polarography
linear sweep voltammetry
linear synchronous motor
linear synthesis
linear system
linear system of curves
linear system of equations
linear system of functions
linear system of subvarieties
linear systems theory
linear system theory
linear tactics
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