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1,460 claims from 908 papers are on the record. 46 have been checked so far; the other 1,414 have no check with a result yet.

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Keyword: model selection ×Clear all

4 claims from 3 papers

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   TM-align: a protein structure alignment algorithm based on the TM-score

   Zhang · Nucleic Acids Research · 2005

   The paper presents TM-align, a protein structure alignment method built on the TM-score, and reports its speed, accuracy, and uses in comparing PDB structures and predicted models.

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   1. UncheckedThe TM-align algorithm runs about 4 times faster than CE and about 20 times faster than DALI and SAL when aligning protein structures.“The algorithm is approximately 4 times faster than CE and 20 times faster than DALI and SAL.”
   2. UncheckedOn average, TM-align's protein structure alignments are more accurate and cover more of the proteins than those from CE, DALI and SAL, the commonly used methods.“On average, the resulting structure alignments have higher accuracy and coverage than those provided by these most often-used methods.”

2. Computer Science › Machine Learning and Algorithms

   The Shape of Learning Curves: a Review

   Viering and Loog · arXiv (Cornell University) · 2021

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   1. Unchecked“All in all, our review underscores that learning curves are surprisingly diverse and no universal model can be identified.”

3. Computer Science › Stochastic Gradient Optimization Techniques

   Model Complexity of Deep Learning: A Survey

   Hu, Chu, Pei, Liu and Bian · arXiv (Cornell University) · 2021

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   1. Unchecked“Model complexity of deep learning can be categorized into expressive capacity and effective model complexity.”