Sentence examples for neglect data from inspiring English sources

Exact(6)

Many passive testing techniques consider only the control part of the system and neglect data, or are confronted with an overwhelming amount of data values to process.

Current nationally available data on maltreatment such as those collected and reported by the National Child Abuse and Neglect Data System (NCANDS) and National Incidence Study (NIS) do not allow for longitudinal assessment but provide annual snapshots (US Department of Health and Human Services et al. 2016; Sedlak et al. 2010a).

However, one analysis of data from Department of Health and Human Services National Child Abusee and Neglect Data System (NCANDS) found lower rates of physical and sexual abuse in AI/AN children than in non-Hispanic White children (Earle and Cross 2001).

According to the National Child Abuse and Neglect Data System (NCANDS) girls are more frequently the victims of sexual abuse, but the number of boys suffering from abuse is also significant and increasing.

The abandonment and neglect data [27], [28], [29] along with our findings may thus challenge the commonly held view of unconditional maternal love and acceptance of the offspring [31].

In general, to discover important biological changes in expression and eliminate calculative hardship, normalization continues to be an essential step in the analysis, but most normalization methods neglect data features [ 20].

Similar(54)

Similarly, theoretical studies that analyze the behavior of classifiers also tend to neglect data-dependency.

Moreover, it emphasizes the possibility of applying neglected data to present day soil management.

Rummaging through piles of neglected data, physical oceanographers have turned up millions of old, deep-ocean temperature measurements that confirm suspicions that Earth is heating up as a result of greenhouse gases.

The studied neglect of data as "irrelevant" is invariably indicative that the neglected data are hugely important.

Notwithstanding, work that proposes new classifiers usually neglects data-dependency when analyzing their performance.

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