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We consider the situation in semi-supervised learning, where the “label sampling” mechanism stochastically depends on the true response (as well as potentially on the features). We suggest a method of...
We propose a sketch-based sampling algorithm, which effectively exploits the data sparsity. Sampling methods have become popular in large-scale data mining and information retrieval, where high data s...
We propose methods for improving both the accuracy and efficiency of random projections, the popular dimension reduction technique in machine learning and data mining, particularly useful for estimati...
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A ∈ Rn×D be our n points i...
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the original CRS and exten...
Sequential estimation of the success probability p in inverse binomial sam-pling is considered in this paper. For any estimator ˆp, its quality is measured by the risk associated with normalized ...
In recent work [15], we have presented a novel approach for improving particle filters for multi-target tracking. The suggested approach was based on Girsanov’s change of measure theorem for stochasti...
In this paper, we investigate frames for L2[−, ]d consisting of exponential functions in connection to oversampling and nonuniform sampling of bandlimited func-tions.
分析了性能指标环境因子与寿命环境因子在概念和应用中的差异.给出了性能指标环境因子的一般性定义,并导出了正态分布环境因子的表达式. 利用这一结果,可以在一定条件下将不同环境的试验数据相互折合, 从而增加样本量,有利于进一步的统计推断. 最后通过实例,说明了性能指标环境因子的应用方法和步骤.
本文研究二阶抽样下总体比率的估计问题, 就若干种情形给出总体比率的几种可行的估计量, 讨论了它们的统计性质.
本文运用统计决策知识探索了经验分布的最优选择问题. 作者借鉴风险函数的思想, 在平方损失的意义下引进平均平方距离标准, 并推导出该标准下最优新经验分布函数. 继而采用另一源于Minimax思想的最大一次距离标准, 在连续总体下对五种经验分布函数加以模拟比较分析, 得出新经验分布函数仍一致占优.

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