Generalization bounds of ERM-based learning processes for continuous-time Markov chains

Generalization bounds of ERM-based learning processes for continuous-time Markov chains

Many existing results on statistical learning theory are based on the assumption that samples are independently and identically distributed (i.i.d.). However, the assumption of i.i.d. samples is not suitable for practical application to problems in which samples are time dependent. In this paper, we...

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書目詳細資料
Main Authors:	Zhang, Chao, Tao, Dacheng
其他作者:	School of Computer Engineering
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/99342 http://hdl.handle.net/10220/13531
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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