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AL queries labels of most informative samples and maximizes gain from the labeling effort.
OED selects the most informative samples to minimize the covariance matrix of the parameters, so that the expected prediction error of the parameters, as well as the model output, can be minimized.
The main idea of our method is to retrain the multi-kernel classifier by utilizing the available labeled samples from source domain, and adding minimum number of the most informative samples with active queries in the target domain.
In the absence of a known marker order, we reasoned that the most informative samples for imputation may be those that are most similar at SNPs that are highly correlated with the SNP to be imputed.
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In order to identify the most informative sample period for this prediction, we applied both models using information on incidence/mortality from the last four years before 2009 (i.e.2005:2008) and gradually added previous years one by one, up until 2001.
A simulation study was done to determine if 72 h is the most informative sampling duration for bioequivalence (BE) determination in paralleldesigned BE studies with drugs that have half-lives of at least 30 h.
Human blood contains combinations of potentially detectable proteins from different parts of the body, and may be the single most informative sample for characterizing an individual's health [ 11].
For this reason, we utilized a prediction method which selectively chooses the most informative sample period, in order to predict incidence/mortality ASR-Ws for the years between 2010 and 2014 [ 15].
Due to the limitation of labeled training samples, computational complexity, and other difficulties, active learning (AL) algorithms aiming at finding the most informative training samples have been an active topic of research in remote sensing image classification in the last few years.
Four approaches to reducing training set size were used: intelligent selection of the most informative training samples, selective class exclusion, acceptance of imprecise descriptions for spectrally distinct classes and the adoption of a one-class classifier.
The results of biochemical testing for porphyrias are most informative when samples are collected during an acute attack.
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