An in-depth experimental study of anomaly detection using gradient boosted machine

Author:

Tama Bayu AdhiORCID,Rhee Kyung-Hyune

Funder

the National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Aiello S, Eckstrand E, Fu A, Landry M, Aboyoun P (2016) Machine learning with R and H2O. https://h2o-release.s3.amazonaws.com/h2o/rel-turan/4/docs-website/h2o-docs/booklets/R_Vignette.pdf . Accessed July 2017

2. Arora A, Candel A, Lanford J, LeDell E, Parmar V (2016) Deep learning with H2O. http://h2o.ai/resources

3. Breiman L (2001) Random forests. Mach Learn 45(1):5–32

4. Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. CRC Press, Boca Raton

5. Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27

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