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They show that their method outperforms modified MinCut and MaxCut on example data sets.
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This new method outperforms previous works [18].
Results show that the proposed method outperforms its counterparts.
That is, the proposed method outperforms the reference methods.
Experimental results indicate that our proposed method outperforms previous methods.
Table 8 shows that HBE method outperforms other classifiers using all validation methods.
Therefore, the network-based method outperforms the hybrid-property based method.
Our method outperforms Dengs MRF method in efficiency of both parameter estimation and prediction performance.
The proposed method outperforms above mentioned methods.
Nevertheless, our method outperforms the GP classifier.
We show that our method outperforms the other methods.
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