In decision support applications, the ability to provide fast approximate answers to aggregation queries is desirable. One commonly-used technique for approximate query answering is sampling. For many aggregation queries, appropriately c... B Babcock,S Chaudhuri,G Das - Acm Sigmod International Conferen...
Hotspots of Anal Cancer Screening in a High-risk Population: A Clinical Study on Free Provision, Best Method, Self-sampling, and Independent Risk Factors Background/aim: As of 2024, anal cancer (AC) has been steadily increasing worldwide but, due to insufficient evidence, anal cancer screening...
SamplingSample SizeBehavior ProblemsIn this article we seek to promote a deeper understanding of the value of universal intervention research in education as well as other fields and to call for greater interdisciplinary learning and discourse. Our goal is to deepen the conversation regarding how to ...
Bretschneider, who contributed to his training and understanding of events involved in HyperW NMR. Research at the Weizmann Institute of Science is supported by the German-Israel Foundation (grant G-1501-302), the EU Horizon 2020 program (FET-OPEN grant 828946, PATHOS), Israel Science Foundation...
Estimating Articulated Human Motion With Covariance Scaled Sampling We present a method for recovering three-dimensional (3D) human body motion from monocular video sequences based on a robust image matching metric, incorpo... C Sminchisescu,B Triggs - 《International Journal of Robotics Research》...
In a dissemination trial, 56 schools were first selected through a stratified sampling procedure, and then randomly allocated to treatment conditions. 819 parents of year 1 primary school children in 28 schools were offered Triple P. 856 families in 28 schools were allocated to the control ...
A cubic box of 64 water molecules was used in the data sampling. The dataset consists of ~33000 configurations sampled from NVT classical and path-integral AIMD simulations at 300 K with the external electric field ranging from 0.0 to 0.6 V Å−1alongxdirection. Electronic structures...
Inspired by this prospect, in this work we built a scalable, universal and programmable time-bin GBS machine, making a stride toward using GBS in drug discovery applications. Results Programmable GBS machine and sampling results The GBS machine, named ‘Abacus’, comprises four primary components:...
Wang, Crd: "Fast CoClustering on Large Data Sets Utilizing Sampling- Based Matrix Decomposition".Proc.ACMSIGMOD,2008 [4]Jorma Rissanen, "Fisher Information, Stochastic Complexity and Universal Modeling" ,IBM Research Division, Almaden ... Rissanen,J. 被引量: 0发表: 1994年 The minimum description...
In this paper deterministic matrices are employed which greatly reduce memory space and computational complexity. To avoid the randomness completely, deterministic sub-sampling is done by choosing rows deterministically rather than randomly, so that matrix can be regenerated during reconstruction without ...