Support vector machines for pattern recognition
||Support vector machines for pattern recognition|
||SNIC Small Compute|
||Mohammad Aslani <Mohammad.Aslani@hig.se>|
||Högskolan i Gävle|
||2019-10-07 – 2020-11-01|
Support vector machine is one the best classifiers in the world of machine learning. However, its time complexity O(n^3) hinders obtaining the results when facing with huge datasets. One of the solutions is to select the instances (instance selection) that play a significant role in classification and remove the rest. In this project, we develop a novel and fast instance selection method.
[Abstract has been edited after approval (reference number 199743). Contact firstname.lastname@example.org if you have questions.]