Exact(9)
Comprehensive evaluations over the LFW dataset well demonstrate the encouraging face verification performance of our proposed framework.
An ordinary least squares regression model does not explain the dataset well (R 2 ~.087).
Model M 4 fits the dataset well; this was confirmed by the coefficient of determination, which reached a value of 0.9824, and its adjusted version, showing a value of 0.2456.
Moreover, the ANN can classify on a dataset well below the BBP limit.
GFA clusters the dataset well from the Gene Expression Omnibus.
The ability of a model to handle problematic taxa, such as the urochordates, is a clear indication that this model fits the dataset well.
Similar(51)
Experiments on three popular fine-grained datasets well validate the effectiveness of our proposed LG-CNN architecture.
The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals.
The experiments on four benchmark datasets (including the CIFAR-10, CIFAR-100, MNIST and SVHN datasets) well demonstrate that the proposed UP-CNN architecture considerably outperforms other state-of-the-art methods.
To study the sequence architecture and sedimentary characteristics of the LMVs, we used outcrop data, seismic datasets, well drilling data, and cores.
Exponential decay models fit both datasets well (r=0.98), although these datasets consist of only four points.
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