The phrase "aggregated features" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or software development, where multiple characteristics or attributes are combined for analysis or processing.
Example: "The model's performance improved significantly after incorporating the aggregated features from various data sources."
Alternatives: "combined attributes" or "consolidated characteristics".
A reconstruction of the network of interactions among single individuals can be achieved to inspect in a deeper fashion the aggregated features reported above.
For each type we compute several per residue and aggregated features as explained below.
Moreover, the GLM framework based on the aggregated features can naturally handle both quantitative and categorical traits, and incorporate non-genetic predictors and/or environmental variables.
Table S2 in the Supplement defines and summarizes the per-residue (calculated for each position in the sliding window) and the aggregated features for each feature type.
We first applied FPCA technique on two coefficient functions w0 t) and w1 t) separately; then we combined two groups of the selected functional principal component scores as aggregated features before we provided them to classifier.
The coordination service computes an aggregated feature vector for each preexisting sub-region describing properties common to all VMs within that sub-region.
The features are associated to products to aggregate features opinions for products also.
Moreover, the vertical pooling could obtain the completed and spatial information by aggregating features across all the feature maps.
Gradient boosting decision trees are explored to aggregate features on segmented regions using a supervised training manner.
Methods are often employed to assist various algorithms make the best use of features by aggregating features or creating new features based on existing data.
The clustering representatives from GMM are encoded via a multi-layout Fisher vector (MFV) instead of traditional Fisher vector (FV) to aggregate features based on their spatial information.
