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So the Allen Institute team used machine learning to train a statistical model that detects all these features.

In fact, for more energy-efficient clothes drying, it recommends choosing a model that detects when clothes are dry and shuts off, or "air drying clothes on clotheslines or clothes racks".

Rather than measuring the actual case distribution, we introduce a new competence model that detects differences through changes in competence.

Hower and Collins (1989) presented the first building block for an analytical model that detects reservoir compartmentalization using production performance.

Thus, the lowest AIC associated with a combination of candidate outliers signals the best model that detects a set of potential outliers.

By this approach, we developed a model that detects over 300 sequences from 19 different genomes, out of 280 genomes searched.

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While Chip-seq data for most of ARFs are still unavailable, prediction of potential AuxRE is restricted by consensus models that detect too many false positive sites.

Unlike regression models that detect interactions that are associated with both risk factor and protective factor, our method can be assigned to detect interactions that are associated with either risky factor (as demonstrated in this manuscript) or protective factor (i.e., by setting C NC > C HT ≥ 0).

BARDmaps was designed to include a structural computational model that can detect patterns among bacterial resistance changes as well as a behavioural computational model that can use the detected patterns to predict future changes in bacterial resistance.

Toloo and Nalchigar (2011) propose an innovative integrated DEA model that can detect the most efficient supplier when there exist both cardinal and ordinal data.

Following this theory, a forest fragmentation and restoration process model that can detect the spatially explicit processes and ecological consequences of forest landscape change was developed and tested in the current analysis.

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