log-transform, will allow robust analysis to be performed on residuals. The use of an appropriate transformation of the data, i.e. Appropriate methods of data transformation are available. But this assumption is not always valid and can affect the benefit of a particular method. Many studies will assume that the residuals follow a normal distribution for statistical analyses. The noise also explains why classification via machine learning is slightly better than via human classification. We also find that accuracy increases with file size, which is a consequence of small amount of noise due to the very low number of samples per file. In a subset of samples from the publicly available test files, we find an average 16% - 22% variation in the detections when blinded for other test files.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |