PMC:4331677 / 25380-26141 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4331677","sourcedb":"PMC","sourceid":"4331677","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4331677","text":"Another approach to analyze the importance of global information is to measure the difference of the target kernel matrix (including global and local information, λ = 0.3) and the local kernel matrix (Figure 4). The left, middle and right panels of Figure 4 are the global, global-local (λ = 0.3) and local kernel matrices respectively. Figure 4 shows that a large area of the global kernel matrix is blue, which means that most values in the global kernel matrix are small. Comparing to global kernel matrix, the values in the local kernel matrix are much larger and the local kernel matrix determine the global-local kernel matrix. That would be the reason why the weight of global information is as high as 30%, while AUC score varies less than 1% (Table 3).","tracks":[]}