Sentence examples for constrained score from inspiring English sources
In this paper, we propose gradient-guided alignment methods based on two popular subtomogram similarity measures, a real space as well as a Fourier-space constrained score.
In this issue, Min Xu and Frank Alber proposed a gradient-guided alignment methods based on two subtomogram similarity measures, a real space as well as a Fourier-space constrained score to align and average a large set of cryo-electron subtomogram, which emerges as an important component for structural system biology.
Data analysis revealed that ICC values were more affected by constrained score variance than outliers in both inter-rater and test-retest reliability.
If a given graph is close to the true underlying structure, then its maximum constrained score will be close to the maximum unconstrained score for many training examples, while if the graph is missing essential connections, then the maximum constrained score given that structure will be much lower than the maximum unconstrained score.
Importantly, the models in which drift rate (v), start point (A), or threshold (b) were constrained scored worse.
We compare CCLS with unsupervised Laplacian score, as well as supervised constraint score, constrained Laplacian score, Spec, and ReliefF.
These include spectral feature selection (Spec) [27], ReliefF [28], Laplacian score, constraint score, and constrained Laplacian score.
It can be seen that the performance of CCLS is significantly better than that of Spec, Laplacian score, constraint score, and constrained Laplacian score.
Filter methods use scores or confidences to evaluate the importance of features in the learning tasks and include algorithms such as Laplacian score (LS) [8], constraint score (CS) [9], and constrained Laplacian score (CLS) [10, 11].
We consider two types of dissimilarity scores for subtomogram alignments, which both incorporate missing wedge corrections: A real space constrained dissimilarity score (Section 2.2) and a Fourier space constrained dissimilarity score (Section 2.4).
Constrained Laplacian score [10, 11] combines the above methods.
