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This result further emphasizes the convenience of using multiple features of the data sets to have a better and quick assessment of the global (or consensus) diversity.
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However, the variability of these patterns observed on a per gene basis highlights the necessity of using multiple features to capture the heterogeneity of tumors.
Using multiple features for a node helps us minimize the size of the trees.
In summary, the machine learning approaches performed better than the rule-based approaches in Task A. For example, Team 238 achieved the best performance by using multiple features (bag-of-words, bigram features, section features, topic features, presence of genes) and training a logistic regression model to classify positive vs negative instances of GO evidence sentences.
Using multiple features instead of a single one results in a more accurate classifier in an image classification task as discussed in section 1.1.
The data clustering algorithm provide a solution to the problem of using multiple features at the same time.
When compared to bagging and boosting ensemble methods, RF has a unique advantage of using multiple feature subsets, which is well suited for high-dimensional data as demonstrated by several bioinformatics studies.
The reference observation of a vehicle is represented by multiple fragments using multiple feature histograms {q l }l = 1,..., Linstead of one global histogram, where L is the number of fragments.
If we confined our analysis to specific subset of genes using multiple defining features, we did detect that the average expression fold change of genes upregulated in both mop1-1 and tgr1-1 and with promoter-proximal 24 nt siRNAs was 6.5 at a P value of 0.008.
Comprehensive linear models of the elongation rates using multiple genomic features.
Much of the recent work focuses on using multiple video features to aid in segmentation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com