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The t-test returns a significance measure in terms of p-values, the lower the p-value, the more probable is a relationship between the left out mass and the target label.
This method is appropriate especially in problems where, a high dimensional input necessitates the use of a sparse method and a target label is also available to guide the variable selection strategy.
Finally, they need to select the target label which is going be predicted by the model.
The difference between DBN outputs and the target label is regarded as training error.
A conventional MLC transformation solution is based on independently training a single binary classifier for each target label.
We also specify a target label (y_{ij}^{beta}in{-1,+1}) representing whether the user pair is connected on the β layer under prediction.
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The difference between the target labels and the model outputs is then measured as the error.
Only 3.8% of injected carbon was effectively fixed as the target labeled product (EPA).
Furthermore, this novel cell binding assay does not require pretreatment such as target labeling or washing of the unbound cells.
The unsupervised scenario is particularly relevant due to many practical applications do not provide target labeling information.
RNA was extracted, labelled and hybridized to Affymetrix Arabidopsis AGRONOMICS1 microarrays as described60 using the GeneChip Whole Transcript Sense Target Labelling Assay (Affymetrix).
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