Sentence examples for datasets variation from inspiring English sources

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Seasonal variation in the IRs in this study might be a true reflection of the occurrence of CM or effects of variation in recording compliance by farmers (both FRD datasets), variation in the completeness of recordings in the CoDD, or because proportionally fewer cows were visited by a veterinarian (veterinary-visited FRD and CoDD).

Similar(59)

We report results for two types of datasets: (a) 15 datasets (variations of each other) that use multiple types of predictor attributes but not gene expression attributes; (b) a dataset including only gene expression attributes (extracted from Genevestigator).

The validation set was sampled from the same original population to avoid biological and technical sources of dataset variation.

Concerning dataset variations, there are several other studies based on Obach et al.'s dataset [14], including [5,22,35,45].

For the total gene dataset, variations in CCScycling scores and non-uniform changes in CCSphase scores in some patients were observed.

Furthermore, the general consensus that the molecular clock is an overly simple model of molecular evolution, based on the observation that most datasets exhibit variation in substitution rates across lineages, may be in part based on error in rate estimation such as we observed in this study.

These huge datasets including variation data are often available from the original sources in a variety of formats requiring the development of various methods to integrate, archive and display these data in a consistent fashion.

The first n vectors that cumulatively account for greater than 90% of the dataset's variation are sometimes used to describe the dataset and reduce its dimensionality.

This may be due to the increasing complexity of the dataset, when variation both in landscape attributes and respondents' characteristics is to be included in the models.

Contextual anomaly detection seeks to find relationships within datasets where variations in external behavioural attributes well describe anomalous results in the data.

These findings indicate overall consistency and reliability across languages, datasets, and variations of the technique.

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