Sentence examples for sentencing data from inspiring English sources

Exact(5)

Congress then passed legislation that limited judicial discretion and authorized the collection of sentencing data on individual judges.

In addition, the United States Sentencing Commission excludes the name of the judge from its sentencing data, in part, experts said, because of the judiciary's concern that such data could be used to single out judges, who were freed from restrictive sentencing guidelines in 2005.

Unfortunately, while the decline in murders played an important role, when Alex Jakubow, Ankur Desai, and I analyzed the past 25 years of death sentencing data, we found a strong county-level pattern of racial bias.

Unfortunately, while the decline in murders played an important role, when Alex Jakubow, Ankur Desai and I analyzed the past 25 years of death sentencing data, we found a strong county-level pattern of racial bias.

Analysis of sentencing data from 2015 shows that, at the Crown Court, black, Asian and minority ethnic (BAME) defendants were more likely than white defendants to receive prison sentences for drug offences, even when factors such as past convictions are taken into account.

Similar(55)

The expert is trained on the sentence data using EM with the Viterbi approximation in the expectation step to calculate the expectation.

In the captions for both Fig. 1 and Fig. 4, the sentence "Data presented is mean ± SE" should be replaced by "Data presented is mean ± 95 % CI" as presented below: Fig. 1 Mean tempo and cadence adaptation for the different conditions.

In this paper, we excluded the vowel data and used only sentence data to diagnose a constitution.

The feature vector for each state is derived from the observed sentence data and their syntactic features.

Indeed, eTBLAST has been shown to underperform in abstracts whose text similarity is low and whose size is small, i.e. below four sentences (data not shown).

If a constitutional diagnosis model generated from only a sentence performs similarly or better than a model using both vowel and a sentence data, it is more appropriate for practical use.

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