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The comparative experimental results concerning 8 benchmark datasets show that our method possesses high classification accuracy and desirable training time.
Experimental results on benchmark datasets show that the proposal allows for the design of compact, interpretable and competitive classification models.
Experimental simulations on various benchmark datasets show that the recursive operation for the hidden RBF response units is promising.
The experimental results on synthetic and real-world benchmark datasets show that the proposed models produce good performance compared with current regression algorithms and provide superior robustness.
Extensive experiments on the two of the largest benchmark datasets show that our deep age estimation model gains notable advantage on accuracy when compared against existing methods.
Empirical results on some benchmark datasets show that our model achieves better performance on automatic image annotation and text-based image retrieval over the baseline models.
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Numerical experiments on various benchmark datasets showed that the proposed algorithm is fast and gives improved generalization performance over the existing methods.
Comparison with previously reported methods on two benchmark datasets shows that this Z-score method is mostly superior to earlier methods.
A comparison with state-of-the-art road detection approaches using benchmark datasets shows that in general the proposed approach provides results with larger completeness.
The performance of the proposed method on ten classification benchmark datasets shows that the average of accuracy of this method improves 1.94%, 3.7%, and 3.74% compared with the mixture of negatively correlated experts, ME and the negative correlation learning, respectively.
In particular, our experiment on several benchmark datasets shows that mSVDD often yields a comparable classification accuracy while achieving a significant speed-up compared with the baselines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com