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After obtaining baseline data, the equations were applied to the sample for prediction of FM by Dezenberg and Goran as well as %BF by Slaughter.
Furthermore, the value of analysing a single blood sample for prediction of litter size at farrowing has been debated [ 1, 10], whereas specifying the interval from oestrus to sampling might improve the results [ 30].
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This research has shown the importance of a target-oriented data sampling for prediction models.
A calibration set comprises the multidimensional space that represents the samples for prediction.
For better prediction performance, Yan and Wang proposed a prediction-error expansion method using linear prediction [19] which used past eight samples for prediction and the prediction coefficients were integers and the order was fixed.
For those proteins that do not have PPI data, the hybrid properties of proteins, including their biochemical and physicochemical properties, are used to code the protein samples for prediction.
The classifier was then applied to the testing samples for prediction.
Second, rather than pseudo dinucleotide composition (7), we used the dinucleotide compositions (6) to represent the DNA samples for prediction.
However, a few studies addressed this topic in the context of progressive sampling for the development of a power law to guide the required sample size for prediction modelling.
Whilst the present experimental rig test resulted in relative minor quantitative improvements only, representative reference samples, required for prediction models, are essential when nominal concentration levels cannot be determined or are unknown, which is usually the case in enclosed pneumatic conveying systems, the target for this study.
Obviously, the presented method can be used not just for visualization of relationships between samples but also for prediction of new samples (e.g. from an extra experiment).
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