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Furthermore, pathway-based classifiers often achieve comparable or better classification performance compared to traditional gene-based classifiers.
We show that this approach can provide better performance compared to traditional solutions.
A numerical example shows an outstanding performance compared to traditional industry methods.
The experimental results show that iiHadoop accelerates the incremental iterative processing and achieves better performance compared to traditional Hadoop.
For the proposed detector, numerical results are drawn, showing a significant gain in performance compared to traditional approaches.
When you're not gaming, NVIDIA® CUDATM technology offers breakthrough performance in compute-intensive tasks like video transcoding and photo editing, delivering up to 10x faster performance compared to traditional CPUs.
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Comprehensive experiments show that this feature fusion based method achieves much better performances compared to traditional methods.
The proposed algorithm achieved near optimal performance in average care, and this work concluded that overlapping channel assignment can exhibit improved performance as compared to traditional channel assignment strategies with orthogonal channels.
ACM claim extremely good performance compared to more traditional alternatives.
The GA-SVR models demonstrate a better performance compared to the traditional bed load formulas.
The GEP approach demonstrated a superior performance compared to other traditional sediment load methods.
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