There are more parameters to estimate in the Mv model than M1, M2, or M3, which means a large penalty in BIC score for the Mv model. In practice, a large sample size is needed to differentiate the Mv model from the M1, M2, or M3 models. HAEC Bayesian networks. The accuracy of ...
to design GapmeRs against SUGCT-AS1 and used the siDESIGN Center in horizon discovery (https://horizondiscovery.com/en/ordering-and-calculation-tools/sidesign-center/ accessed on 10 April 2022) and i-Score Designer (https://www.med.nagoya-u.ac.jp/neurogenetics/i_Score/i_score.html/ access...
The differences in abundance were regarded as significant when the loga- rithmic LDA score was higher than 2. The alluvial plot was produced using the ggalluvial R package, while the heat map of the hierarchical clustering was obtained using the pheatmap R package (https://corybrunson.github.io...
CrossViT: "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4", CVPRW, 2022 (MIT). [Paper][PyTorch] Camera-related: CTRL-C: "CTRL-C: Camera calibration TRansformer with Line-Classification", ICCV, 2021 (Kakao ...
Suicide-specific attentional bias effects above and beyond those of general attentional biases towards negative emotional stimuli could be determined by computing attentional bias scores for negative word stimuli relative to neutral word stimuli and comparing this bias score to the one for suicide-related...