The phi accrual failure detector keyboard_arrow_right
This post is the summary of the paper: The accrual failure detector by N. Hayashibara, X. Défago, and T.Katayama. In Proc. 23rd IEEE Intl. Symp. on Reliable Distributed Systems (SRDS’04), pp. 66-78, Florianópolis, Brazil, October 2004. IEEE CS Press.
Second Mt. Oyama Hiking keyboard_arrow_right
Motif-Aware Graph Embedding keyboard_arrow_right
Brain network construction from EEG data keyboard_arrow_right
Note: Due to some unavailibity in resources, I have stopped working on this project. However, I will continue in the future when I have better knowledge, tools, and connection to tackle the problem here. Also, some content will still be udpated. 2016/06/16.
Empirical Risk Minimization keyboard_arrow_right
I remember the confusion I had when professor Osamu Watanabe first gave me the Occam’s razor problem. With that confusion, I start to love the exciting world of theoretical machine learning. This post is about ERM scheme and some proofs around it. This post is my understanding of the second chapter in the book Under standing machine learning: From theory of algorithm by Shai Shalev-Shwartz and Shai Ben-David.
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