“…This method measures ratios of event yields instead of evaluating distributions of discriminating variables, thus most of the dominating systematic uncertainties intrinsically cancel to first order. …”
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“…Since the W+jets process has a very large cross section and a final state containing missing energy, its contribution to the total Standard Model background is both nominally large and more difficult to discriminate against than backgrounds with only visible final state objects. …”
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“…To unfold the signal from the background events it has taken advantage of the sPlot technique, which allows to calculate a per-event sWeight exploiting a discriminant variable, i.e. the invariant mass of the $B^0$ meson. …”
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“…Multiple substructure variables are combined into a single discriminant using two machine learning techniques: boosted decision trees and deep neural networks. …”
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“…A multivariate technique (Boosted Decision Trees) has been developed and is utilised in order to improve the signal extraction by optimally combining discriminating variables related to the ${\rm \Lambda_{c}^{+}}$ decay topology. …”
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“…For the study based on 36 $\mathrm{fb}^{-1}$ of data, the object reconstruction, event selection and classification, the techniques to discriminate the signal from the background, the main background and their modelling, the signal properties and the interpretation of results are discussed. …”
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“…During my thesis I worked in many aspects of the analysis such as ; the background modelling, the MVA discriminant, the systematic uncertainties considered in the measu- rement, as well as, the statistical analysis of the results. …”
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“…HIV and anti-trans stigma were high across most measures, including that almost all (94.2%) believed that most people in Nepal would discriminate against people with HIV. And most participants thought trans women were not accepted in Nepali Society (65.9%). …”
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“…Based on their geochemical characteristics and stepwise discriminant analysis, the oils in the Sikeshu Sag and its peripheral regions can be categorized into two types: groups A and B. …”
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“…Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach’s α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test–retest reliability coefficient was 0.978. …”
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“…The area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index, and composite discriminant improvement index were used to analyze the correlation between CAP and outcomes during hospitalization. …”
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“…We then examined the capacity of the network failure quotient and focal markers of neurodegeneration to discriminate patients with amnestic (N = 8) or dysexecutive (N = 10) Alzheimer’s disease from the normative cohort at the patient level, as well as between Alzheimer’s disease phenotypes. …”
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“…The extracted drowsiness attributes are classified using decision trees, discriminant analysis, logistic regression, naïve Bayes, support vector machines, k-nearest neighbors, and ensemble classifiers. …”
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“…ABSTRACT: The ability to discriminate competing external stimuli and initiate contextually appropriate behaviours is a key brain function. …”
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“…The HC/MH ratio had an area under the receiver‐operating‐characteristics curve of 0.77 and an optimal cut‐off value for discriminating between vaginal delivery and CS for labor dystocia of 2.09, which was associated with a sensitivity of 0.62 (95% CI, 0.45–0.77), specificity of 0.79 (95% CI, 0.76–0.82), positive predictive value of 0.13 (95% CI, 0.09–0.19) and negative predictive value of 0.98 (95% CI, 0.96–0.99). …”
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“…Our objective was to develop updated percentiles, based on substantially larger samples than previous norms, to more finely discriminate age- and sex-specific UPSIT performance among ≥50-year-old adults who may be candidates for studies of prodromal neurodegenerative diseases. …”
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“…CONCLUSIONS: Our results underscore the potential of wearable sensors to discriminate not only between individuals with and without influenza infections but also between care-seeking and non–care-seeking populations, which may have future application in health care resource planning. …”
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“…Expected drug susceptibility was the only discriminative factor for recurrent TB episode-causing mycobacterial strains, while no differences between reactivation and reinfection sample groups could be identified.…”
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“…Sleep spindle density, amplitude, spindle-slow oscillation (SSO) coupling, aperiodic signal’s spectral slope and intercept, as well as the percentage of REM sleep were found to be key discriminative features in the predictive models. CONCLUSION AND RELEVANCE: Our results suggest that integration of EEG feature engineering and machine learning can identify sleep-based biomarkers for ASD children and produce good generalization in independent validation datasets. …”
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“…Recursive feature elimination (RFE) based on linear discriminant analysis (LDA) was adopted to select the most useful predictive features, and RFE based on support vector machine (SVM) was used to reduce the number of SNPs. …”
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