首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Cover-based combinatorial bounds on probability of overfitting
Authors:A I Frey  I O Tolstikhin
Institution:1. Moscow Institute of Physics and Technology (State University), Institutskii per. 9, Dolgoprudnyi, Moscow oblast, 141700, Russia
2. Dorodnicyn Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119333, Russia
Abstract:The paper improves existing combinatorial bounds on probability of overfitting. A new bound is based on partitioning of a set of classifiers into non-overlapping clusters, and then embedding each cluster into a superset with known exact formula for the probability of overfitting. Such approach makes the bound sharper because it accounts for similarities between classifiers within each cluster.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号