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The phrase "alignment for training" is correct and usable in written English.
It can be used in contexts related to preparing or adjusting systems, models, or processes for effective training, particularly in fields like machine learning or education.
Example: "We need to ensure proper alignment for training the new AI model to achieve optimal performance."
Alternatives: "preparation for training" or "adjustment for training".
Exact(1)
Of these, we removed the superfamilies 'Lipocalins' and 'Trypsin-like serine proteases,' which were not structurally consistent enough to permit a multiple structure alignment for training HMMER or the SMURF variants, and which were broken into distinct superfamilies by (Daniels et al., 2012), with the result that 11 superfamilies containing barrels were selected.
Similar(59)
Alignments for training were taken from the same sources as in [ 15] including representatives for rRNAs, spliceosomal RNAs, tRNAs, miRNAs, small nucleolar RNAs, nuclear RNaseP and SRP RNA.
A total of 239 transcripts were mapped to the non-coding RNA database of the Rfam [ 39– 43], which is also frequently used as a source of high-quality alignments for training and benchmarking RNA sequence analysis software tools.
The GMM-HMMs served as alignment sources for training a DNN-HMM model, with 4 hidden layers in a 2-norm maxout network [100] with 3000 nodes per hidden layer with groups of 10.
The new 3D alignment for a training course consists of measured individual elements from existing tracks combined with newly marked sequences of elements (generalized spline function).
Generate new state-level alignments for the training data set using Viterbi decoding with the most recent DTAMs. 5.
The reference structure alignments for the training and validation data are built using our in-house structure alignment tool DeepAlign.
(2) Once trained, forced alignment of training trajectories is performed (Viterbi alignment in Figure 5).
The matrix M( s) is estimated empirically from the 2×/ENCODE alignments, using separate data for training and testing.
A total of 5886 ClustalW alignments, approximately equally representing these ncRNA families, were used for training after removing alignments that were not recognized as structured RNA by RNAz in both reading directions.
Both are vital for training the proper alignment of the ankle joint and preventing re-injury.
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