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Experimental results on several synthetic and benchmark datasets indicate that, comparing to SVR, WSVR, TSVR and KNNWTSVR, our proposed RKNNWTSVR has better generalization ability and requires less computational time.
Experimental results on benchmark datasets indicate that the performance of pooling strategies is associated with the distribution of feature activations, which can be affected by whitening processing.
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Rigorous cross-validation on a high quality benchmark dataset indicated that the proposed predictor is remarkably superior to "iLoc-Gneg", the state-of-the-art predictor for the same purpose.
Rigorous cross-validation on a same stringent benchmark dataset indicated that the proposed pLoc-mVirus predictor is remarkably superior to iLoc-Virus, the state-of-the-art method in predicting virus protein subcellular localization.
The worst AUC value of PBSI on the benchmark dataset indicated that prediction based on phenotype similarity alone was poor.
Our benchmarking studies on completely independent datasets indicate that novPTMenzy can predict the presence of different PTM catalyzing domains with very high sensitivity and specificity (Table 1).
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.
Results on benchmark datasets show that the hybrid method is really effective and robust.
Experimental results on CoNLL benchmark dataset show that our proposed DSMM significantly outperforms existing baseline models for EL task.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com