DTAK-SVDD
基本解釋
- 動態(tài)規(guī)整核SVDD
英漢例句
- The resulting multi-kernel SVDD could be expressed as an SDP problem, so it could be solved with the global optimal solution.
擴(kuò)展后的多核支持向量域描述方法可以表述為半正定規(guī)劃問題,因此可以收斂到全局最優(yōu)解。 - Abstract To efficiently resolve outlier detection problem in large scale data sets, an efficient outlier detection algorithm based on Support Vector Data Description (SVDD) was proposed.
摘要 為了解決大規(guī)模數(shù)據(jù)中的異常檢測問題,提出了基于支持向量數(shù)據(jù)描述(SVDD)的高效離群數(shù)據(jù)檢測算法。 - Support Vector Data Description(SVDD)
支持向量數(shù)據(jù)描述 - support vector data description ( SVDD)
支持向量域描述 - support vector domain description(SVDD)
支持向量域描述