Based on train scheduling, this paper puts forward a multi-objective optimization model for train routing on high-speed railway network, which can offer an important reference for train plan to provide a better service.
Outside of surgical education, frame-of-reference (FOR) training has been shown to be an effective training modality to teach raters the specific performance indicators associated with each point on a rating scale.
Firstly, our findings may have implications for rater training, providing further support for the implementation of 'frame-of-reference' (FOR) training as proposed by Holmboe (2008).
These pairs comprised our positive reference set for training network models.
While certain techniques such as randomly amplified polymorphic (RAPD) PCR may successfully produce unique viral genomic fingerprints [44], we are also evaluating alternative strategies such as optical mapping [45] and automated artificial neural networks using known morphological characteristics and fluorescence data gathered from reference phage for training [46].
For the supervised approaches, we use the entire sets of reference complexes for training.
We perform random sub-sampling cross-validation, repeated over ten rounds, using manually curated complexes as reference complexes for training and testing.
In order to train the cycle dependent SVMs a known sequence has to be included or when resequencing a genome it is also possible to use the reference genome for training.
Gene predictions were performed using three different approaches: SNAP [ 108], AUGUSTUS [ 109] and EXONERATE [ 110] using ORF's identified in the G. clavigera strain kw1407/UAMH 11150 [ 26] as reference and for training and genomic comparisons.
As we suggested above, models that avoid supervised learning have the advantage of a potentially increased yield in the case of de novo sequencing since they do not require resequencing of a known reference sequence for training.
Of this set of potential key factors, 16 were known to play either essential or non-essential roles in the regulation of adult definitive erythropoiesis and were used as a reference dataset for training the machine learning algorithm.
