百度试题 题目Generalizability is defined as the degree to which the validity of a selection method established in one context extends to other contexts.相关知识点: 试题来源: 解析 √ 反馈 收藏
Any language test is by its very nature ... Spolsky,B. - 《Language Testing》 被引量: 162发表: 1985年 The Voter as Juror: Attributing Responsibility for Economic Conditions This paper outlines a model of economic voting in which people act as intuitive jurors using various decision rules to...
Generalizability Theory Generalizability TheoryRichard J. ShavelsonStanford University, Stanford, California, USANoreen M. WebbUniversity of California, Los Angeles, Los Angeles, California, USAGlossarycondition The levels of a facet (e.g., task 1, task 2, ... , task k).decision (D) study A ...
where,\({k}_{i}^{+}\)is the positive degree, corresponding to the number of known binding annotations in the training data, and\({k}_{i}^{-}\)is the negative degree, or the number of known non-binding annotations in the training data (Fig.2a, b). As most proteins and ligands...
Converging resting-state functional connectivity evidence is also complicated by the variability of study acquisition parameters, sample selection, preprocessing methods, and analysis methods. As a result, both the extent to which different approaches to functional connectivity in autism are found in ...
Each DCNN model produces a probability distribution over the target data classes for each Sn and their average is defined as the vector pn = (pn(1), pn(2), pn(3), pn(4), pn(5)), where indexes 1 to 5 refer to the EDH, SDH, SAH, IVH, and IPH classes, respectively. An ...
as 0.9703 ± 0.0102, surpassing the second-best option of concatenation, 0.9845 ± 0.0147 (p = 0.001), with an improvement of 0.25% inPC. The attention map (Additional file 3: Fig. S3) clearly showed that F is the most important modality for drugs, while MC is the most...
All models were trained using LGE CMR of MS-CMRSeg, and the root of training data is defined in data/mscmr.py as follows, root = Path('your/dataset/directory' + args.dataset) Please replace your/dataset/directory with your own directory. To train U-Net, PU-Net, Baseline, and BayeSeg...
wherepstands for parameters\(a\)or\(b\)and\(X^w\)stands for the 3D coordinate of each voxel in the warped image\(I_w\).\({{{\mathrm{G}}}({{{\mathrm{X}}},\bar X)\)is defined as\({{{\mathrm{G}}}\left( {{{\mathrm{X}}},\bar X} \right) = \exp \left( { - \...
We defined the quality of life of patients as the target of measurement and items as one facet of measurement error. Given every person is asked to reply to all items, the design is One-facet Crossed Design [34–37]. For the G-Study, a universe of admissible observations, which consists...