Efficient regularized least-squares algorithms for conditional ranking on relational data

标题
Efficient regularized least-squares algorithms for conditional ranking on relational data
作者
关键词
Reciprocal relations, Symmetric relations, Learning to rank, Kernel methods, Regularized least-squares
出版物
MACHINE LEARNING
Volume 93, Issue 2-3, Pages 321-356
出版商
Springer Nature
发表日期
2013-06-07
DOI
10.1007/s10994-013-5354-7

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