Because of this, real-world testing and comparing active learning algorithms requires collecting new datasets (adaptively), rather than simply applying algorithms to benchmark datasets, as is the norm in (passive) machine learning research.
In a between-subjects design, we compared active and passive S3D display technologies and attempted to disentangle genuine adverse effects from those caused by negative expectations.
The randomized phase compared active and sham stimulation during 1-month periods, and was followed by a 1-year open phase.
As we examined structures of proteins with inhibitor bound in the active site, we have compared active and inactive proteins in which the substrate-binding pocket is formed.
On the other hand the finding is in line with the most recent meta-analysis which included 11 trials and 84,363 patients which compared active treatment versus placebo [ 25].
This laboratory-based study compared active, passive, and combined methods of half-time heat maintenance.
We found unaltered MVF, lung function and biomarkers comparing active and sham re-circulating indoor filtration for two weeks in the homes of non-smoking elderly, including some with well-controlled vascular disease.
However, as trials had to include a usual care or placebo control group in that analysis, we excluded trials and contrasts comparing active treatments (psychological therapy, pharmacotherapy, or combination of both) with each other.
However, subgroup analyses did not identify an optimal supplementation strategy (ie, dose, formulation and frequency), and large trials comparing active interventions could inform clinical guidelines.
To test our model predictions and to specifically compare active with passive engulfment for small and large particles, we transfected COS-7 cells with either wild-type FcγR (WT-FcγR) or a signaling-dead mutant receptor (Y282F/Y298F-FcγR).
