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The input-space feature selection reduces the dimensionality of data by selecting a subset of features to conduct a hypothesis testing or create a model under some selection criteria in the same space as input data (e.g., t-test).

For video requests from "video-hot" groups, we firstly propose an energy-efficient optical network unit (ONU) selection approach to reduce ONU power consumption by selecting a subset of ONUs to support such requests, then our previously proposed rebroadcast and patching scheme can be effectively applied.

The data used for detection of positive selection in gamma-glutamyl transpeptidase family was generated by selecting a subset of 23 DNA sequences from the earlier data set of 47 sequences.

Specifically, we develop adaptive link selection algorithms that can exploit the knowledge of poor links by selecting a subset of data from neighbor nodes.

Motivated by previous studies [4, 8], we also tried to maximize the correlation score by selecting a subset of genes.

Active learning attempts to address this issue by selecting a subset of most critical instances for labeling [58].

Based on our previous study within the LDA space [19], further improvement is also expected by adaptively selecting a subset of the LDA-based and PCA-based classifiers.

This redundancy needs to be efficiently exploited by periodically selecting a subset of nodes (referred to as a "cover") that actively monitor the field, and putting the remaining nodes to sleep.

They are based on Breiman's previous ensemble classifier bagging predictor (Breiman 1996), and they add more randomness by randomly selecting a subset of explanatory variables at each split node.

This reference is generated by randomly selecting a subset of unrelated individuals of the HapMap collection, and produces a consistent diploid signal for tumor quantification and normalization (Methods S1, Table S1, and Figure S2).

We create a starting population by randomly selecting a subset of individuals from the mixed population.