Sentence examples for by classification with from inspiring English sources

We apply these steps to MALDI spectral data collected from normal and tumor lung tissue samples, and then compare the performance of feature selection with FDR followed by classification with an SVM, versus joint feature selection and classification with Bayesian sparse multinomial logistic regression (SMLR).

There was no statistically significant difference between the two groups by classification with MSP OSS, p = 0.326; PFS, p = 0.342).

Nevertheless, hierarchical systems can be very specific for an intended task and are difficult to adapt to other databases with new classes.Therefore, we propose here a non-hierarchical segmentation-by-classification system with ten class-specific vectors (one class vector and one non-class vector for each class) and five matrices modeling the within-class variability of each pair class/non-class.

Figure 6 HMM/GBE-FA segmentation-by-classification system with different numbers of states.

The Gene Ontology term enrichment analysis was done with the data corresponding to transcripts clustered by classification analyses with 12 and 10 tissues for the 3 main GO terms independently (Biological process, Cellular component and Molecular function).

To predict death or neurodevelopmental impairment (NDI) in extremely low birth weight infants by classification trees with recursive partitioning and automatic selection of optimal cut points of variables.

Illustrated are all cases for each data set, subdivided by COO classification established using the DAC classifier [ 32 ] and ranked by classification confidence, with classifier genes illustrated on the right (yellow bars ABC classifier genes and cases, blue bars GCB classifier genes and cases, green bars COO-unclassified cases).

The year*BMI interaction terms multiply year of response by BMI classification (with normal weight omitted); the circuit*BMI interaction terms multiply federal circuit by BMI classification (with normal weight omitted).

For the ChimpTaï dataset, however, the system's performance is almost equally caused by false classification, with P FC of 17.73% and P FR of 13.52%.

For treatment of cases that did not have fast breathing, most errors leading to low specificity (46 of 57) were caused by incorrect classification with fast breathing.

This relationship also remained strong when the participants were stratified by clinical classification (with or without correction for age and sex) as well as stratification by sex (with or without correction for age); refer to Table  2 and Figure  2.