Introductions to R-based sampling Unlike conventional quad-tree sampling, R-based sampling samples the data based on the resolution matrix of data (please refer to the Lohman and Simons (2005) paper ...

The package {samplelim} for the R statistical software provides efficient implementations (C++ encoded) of Monte Carlo Markov Chains (MCMC) algorithms for uniformly sampling high-dimensional polytopes ...

In this paper, we propose and validate a novel self-adaptive real-time event-driven ECG R-peak detection algorithm based on extremum sampling. The criteria for algorithm development were low ...

Sampling social network is referred to collect a small subgraph of original network with high property similarities between them. Due to important impact of sampling on the social network analyses, ...

Sampling path planning algorithms include probabilistic roadmaps and rapidly exploring random trees. The probabilistic roadmap algorithm does not necessitate environmental modeling.

Stratified sampling is a probability sampling algorithm that divides the population into homogeneous and mutually exclusive subgroups, or strata, based on some relevant characteristic or variable.