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To cope with this problem, we propose an adaptive parameter-setting method which needs no test dataset label.

Fig. 3 The cloud samples on the MGC dataset Table 2 The sample number of each cloud class on the MGC dataset Label Cloud type Number of samples 1 Cumulus 160 2 Cirrus 300 3 Altocumulus 340 4 Clear sky 350 5 Stratocumulus 250 6 Stratus 140 7 Cumulonimbus 180 Total number 1720.

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A list of potential actions (non-comprehensive) are outlined to emphasize the potential of the workflow to improve current datasets Label Label name Label information (I) and potential actions to be developed (A) H Missing coordinates (I) No detected coordinates.

Include only data in the 1.0-6.0 1.0-6.0ge in the dataset labeled "src".

SenticNet:  Sentiment dataset labeled with semantics and 5 dimensions of emotions by Cambria et al., version 3 [28].

Binary relevance (BR) is a popular problem transformation method that learns M binary classifiers, one for each different label in L. It transforms the original dataset into M datasets D λ j : j = 1 … M that contain all examples of the original dataset, labeled positively if the label set of the original example contained λ j and negatively otherwise.

The two bar charts on the left of Fig. 5 correspond to the two within-dataset experiments based on the USA breast cancer dataset (labeled as "USA") and the Netherlands dataset (labeled as "Netherlands"), respectively.

The known interactions between the genes involved in this biological function were obtained from the Database of Interacting Proteins [54]. Figure 2a shows the interaction network of the proteins in our dataset labeled with these particular GO terms.

The clean dataset labelled as analysis dataset was exported into SPSS and will be made available for reporting the baseline findings.

We first show the performances and parameter tuning of LRAcluster on a three cancer-type testing dataset and a breast cancer dataset labeled with ER+/ER- subtypes.

The NA12878 reference genotypes were NIST High Confidence calls from GeT-RM/NA12878.NIST-GIAB_v.2.18 (labeled 'GeT-RM') or the full GIAB dataset (labeled 'full GIAB'full

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