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Found 5 papers, 0 papers with code
Semantic Is Enough: Only Semantic Information For NeRF Reconstruction
This research aims to extend the Semantic Neural Radiance Fields (Semantic-NeRF) model by focusing solely on semantic output and removing the RGB output component.
Block-regularized 5$\times$2 Cross-validated McNemar's Test for Comparing Two Classification Algorithms
In contrast, a cross-validation (CV) method repeats the HO method in multiple times and produces a stable estimation.
I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums
The experimental results show that the I-WKNN algorithm has obvious advantages in positioning accuracy and positioning time in a complex noise environment and has obvious application potential in a smart stadium.
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models
However, the existing t-tests in cross-validation (CV) for model comparison are inappropriate because the distributions of P, R, F1 are skewed and an interval estimation of P, R, and F1 based on a t-test may exceed [0, 1].
