![]() It includes functions for Prediction, CDF, Inverse, FitHigh (larger is better), FitLow (smaller is better) and FitSVM. This version uses object, that retain the “transforms” (including save/load) need to compute the actual w-scores. Or one of our later works if combining it with them. Please cite libMR in your publications if it helps your research: = , We dropped pursing the patent protection. (see License.txt) and superseed previous license. This version libMR is released under the BSD 3-Clause license. The C++ classes here track translation and flipping to make it easier to correctly use the meta-recognition concepts. It is also easy to do the work in almost any advanced package (R, Matlab, etc.) but it is trick to keep it all straight. ![]() ![]() Luckily extreme value theory provides a strong basis for modeling of the largest or smallest known values and then determing if something else is too large or too small. It is used to calculate w-scores used for multi-modal fusion, renormalize SVM data and in general support open-set algorithms with outlier detection Motivationĭetermine when something is an outlier is tricky business. LibMR provides core MetaRecognition and Weibull fitting functionality.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |