Search alternatives:
marked decrease » marked increase (Expand Search)
training sets » training set (Expand Search), training data (Expand Search), training loss (Expand Search)
sets decrease » sizes decrease (Expand Search), suvs decreased (Expand Search), mean decrease (Expand Search)
marked decrease » marked increase (Expand Search)
training sets » training set (Expand Search), training data (Expand Search), training loss (Expand Search)
sets decrease » sizes decrease (Expand Search), suvs decreased (Expand Search), mean decrease (Expand Search)
-
1
-
2
-
3
Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets.
Published 2025Subjects: -
4
Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients.
Published 2025“…This decrease was larger in the disconnected than in the contralateral cortex. …”
-
5
-
6
-
7
Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”
-
18
-
19
Comprehensive evaluation of machine-learning models in the training cohort.
Published 2025Subjects: -
20
Algorithm training accuracy experiments.
Published 2025“…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. The average accuracy of the proposed detection model before and after training convergence was 0.54 and 0.97. …”