图 书 馆开课单位--美国国立卫生研究院
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1An Alternative Cross Entropy Loss for Learning-to-Rank[一种用于排序学习的交叉熵损失方法]
Sebastian Bruch(美国国立卫生研究院) An Alternative Cross Entropy Loss for Learning-to-Rank
热度：35
Sebastian Bruch(美国国立卫生研究院) An Alternative Cross Entropy Loss for Learning-to-Rank
热度：35
2Approximate Bayesian Computation: What, Why and How?[近似贝叶斯计算：是什么，为什么以及怎么样？]
Simon Tavaré(美国国立卫生研究院) Approximate Bayesian Computation (ABC) arose in response to the difficulty of simulating observations from posterior distributions determined by intra...
热度：228
Simon Tavaré(美国国立卫生研究院) Approximate Bayesian Computation (ABC) arose in response to the difficulty of simulating observations from posterior distributions determined by intra...
热度：228
3Fast Resampling Weighted v-Statistics[快速采样加权v统计]
Chunxiao Zhou(美国国立卫生研究院) In this paper, a novel, computationally fast, and alternative algorithm for com- puting weighted v-statistics in resampling both univariate and multiv...
热度：47
Chunxiao Zhou(美国国立卫生研究院) In this paper, a novel, computationally fast, and alternative algorithm for com- puting weighted v-statistics in resampling both univariate and multiv...
热度：47
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