Worst-case analysis of the perception and exponentiated update algorithms.

The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perception learning algorithm and the Exponentiated Update learning algorithm, which is related to the Weighted Majority algorithm. The...

詳細記述

書誌詳細
出版年:Artificial intelligence. 106, 2 (1998).
第一著者: Bylander, Tom
フォーマット: 論文
言語:English
主題: