In the independent range sampling (IRS) problem, given an input set P of n points in Rd, the task is to build a data structure, such that given a range R and an integer t ≥ 1, it returns t points that are uniformly and independently drawn from P ∩ R.
Jun 22, 2014 · This paper studies the independent range sampling prob- lem. The input is a set P of n points in R. Given an interval q = [x, y] and an integer ...
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This paper studies the independent range sampling problem. The input is a set P of n points in R. Given an interval q = [x, y] and an integer t ≥ 1, ...
Independent range sampling (IRS), which formalizes the problem of retrieving independent random samples from a query range, is both an old and a new problem. ...
May 14, 2024 · We therefore address the problem of independent range sampling on interval data, which outputs s random samples that overlap a given query ...
Abstract. In the independent range sampling (IRS) problem, given an input set P of n points in Rd, the task is to build a data structure, such that given a ...
Mar 19, 2019 · Abstract:We revisit the range sampling problem: the input is a set of points where each point is associated with a real-valued weight.
This invited paper summarizes our results on the “independent range sampling” problem in the RAM computation model. The input is a set P of n points in R.
Independent samples are samples that are selected randomly so that its observations do not depend on the values other observations.
independent range sampling problem. We focus on the with-replacement sampling, in which each sample is independent selected from the query range. We defer ...