Systematic reviews require researchers to identify the entire body of relevant literature. Algorithms that filter the list for manual scanning with nearly perfect recall can significantly decrease the workload. This paper presents a novel stopping criterion that estimates the score-distribution of relevant articles from relevance feedback of random articles (S-D Minimal Sampling). Using 20 trai...

the assessment of the quantitative and qualitative changes, the result of the impacts imposed by natural factors, and human interventions during specific sampling periods has a substantial influence on nature, management method and tending operation of every region’s forests. the present research was carried out in golestan province forests (iran) over an 11- year period and the obtained statis...

As indicated in Bookstein’s introduction [l] sampling is one of the most heavily used methodologies in library research. Moreover, sampling in libraries is not confined to library research alone: also other disciplines occasionally use this technique for research purposes. In this paper we will give a new and complete proof that Fussler’s sampling technique is always better than sampling by len...

In this paper, two methods are proposed which address the random sampling and compressed sensing recovery problems. The proposed random sampling recovery method is the Iterative Method with Adaptive Thresholding and Interpolation (IMATI). Simulation results indicate that the proposed method outperforms existing random sampling recovery methods such as Iterative Method with Adaptive Thresholding...