learning to rank 排序学习 ; 机器学习排序 ; 学习排序 ; 学习
rank learning algorithm 排序学习算法
Learning to Rank Challenge 学习排序竞赛
Machine Learning to Rank 基于大规模机器学习的排序算法
Learning Rank 排序学习
Workers of every rank are told these days that wide-ranging curiosity and continuous learning are vital to thriving in the modern economy.
如今，各个等级的员工都被告知，广泛的好奇心和持续的学习对在现代经济中蓬勃发展至关重要。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Making decisions about where to apply to college means learning more than rank, location, and who you know who went there.
做决定于选择哪里上学意味着知识大于排名，地理位置，你认识谁或谁去过那里。
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