참고문헌
- Morillo, Daniel Sanchez, "An accelerometer-based device for sleep apnea screening." IEEE transactions on information technology in biomedicine, vol. 14, no. 2, pp. 491-499, 2010. https://doi.org/10.1109/TITB.2009.2027231
- Karantonis, Dean M., "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring." IEEE transactions on information technology in biomedicine, vol 10, No. 1, pp. 156-167, 2006. https://doi.org/10.1109/TITB.2005.856864
- Jean-Louis, Girardin, "Sleep estimation from wrist movement quantified by different actigraphic modalities." Journal of neuroscience methods, vol 105, No. 2, pp. 185-191, 2001. Article (CrossRefLink) https://doi.org/10.1016/S0165-0270(00)00364-2
- Witten, Ian H., and Eibe Frank. "Data Mining: Practical machine learning tools and techniques." Morgan Kaufmann 2005. Article, vol 2005.
- Cleary, John G., Leonard E. Trigg. "K*: An instancebased learner using an entropic distance measure." Proceedings of the 12th International Conference on Machine learning, vol 5, pp. 108-114, 1995
- Dahiya, Shashi, S. S. Handa, and N. P. Singh. "Impact of bagging on MLP classifier for credit evaluation." Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on. IEEE, 2016, vol. 2016, pp. 3794-3800, 2016
- Lira, Milde MS. "Combining multiple artificial neural networks using random committee to decide upon electrical disturbance classification." 2007 International Joint Conference on Neural Networks. IEEE, 2007, vol. 2007, pp. 2863-2868, 2007.
- Hosseini, Mohammad-Parsa, Abolfazl Hajisami, and Dario Pompili. "Real-time Epileptic Seizure Detection from EEG Signals via Random Subspace Ensemble Learning." Autonomic Computing (ICAC), 2016 IEEE International Conference on. IEEE, 2016, vol. 2016, pp. 209-218, 2016.
- Liaw, Andy, and Matthew Wiener. "Classification and regression by randomForest." R news, vol. 2, no. 3, pp. 18-22, 2002.
- Dai, Jianhua, and Qing Xu. "Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification." Applied Soft Computing, vol. 13, no. 1, pp. 211-221, 2013. https://doi.org/10.1016/j.asoc.2012.07.029