Because the data had a complex multilevel cross classified structure, with individual interventions (level 1) nested in groups of aggregated interventions (level 2) and in individual trainees (level 2'), they were not independent and the analyses accounted for the clustering.
Second, an entropy-based measure on energy signatures is proposed to classify structured and random textures.
The ability to automate morphology assays on 3D cell cultures is a powerful tool, but some scientists are now pushing the technology even further, with algorithms that can classify structures in living animals and clinical specimens.
In classifying structured P2P overlays based on their routing performance, we put them in four major groups: single-hop overlays, constant degree overlays, multi-dimension overlays, and logarithmic degree overlays.
The programme is broadly to classify structures according to (a) what groups or fields are interpretable in them (in the sense sketched in the entry on model theory) and (b) whether or not the structures have 'modular geometries'; and then to use this classification to solve problems in model theory and geometry.
In this work, we show that RNA sequence neutrality is an effective feature for machine learning approaches to classify structured RNAs from various decoy sequences.
The group then gets involved in constructing their concept map, classifying, structuring, and thinking carefully about similarities and differences between pathways.
Pflex tends to easily classify structures as variable at low levels of added noise (σ = 0.1, Figure 4A); three of the four structures in the ensemble are classified as variable.
Since Novinsky's experiment in 1876, cancer has been classified, structured, and sub-grouped the tissues of origin (organ-based cancer classification) by tumor size (T), by lymph node involvement (N), and spread to organs (M).
First, as independent classifiers, neutrality calculated by both the SEN (Dataset2 AUC = 0.87, Dataset3 AUC = 0.903) and PCC (Dataset2 AUC = 0.864, Dataset3 AUC = 0.900) demonstrate a similar ability to correctly classify structured and unstructured sequence in all training examples regardless of sequence or structure origin (Table 4).
Rapid Visual Screening of Building for Potential Seismic Hazards (FEMA P-154) classifies building structure into 15 categories.
