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`@@ -78,16 +78,18 @@ Sample code for hyper-parameter optimization implementation for machine learning`
`78`	`78`	`## Citation`
`79`	`79`	`If you find this repository useful in your research, please cite this article as:`
`80`	`80`
`81`		`-L. Yang and A. Shami, On Hyperparameter Optimization of Machine Learning`
`82`		`-Algorithms: Theory and Practice, Neurocomputing (2020), doi: https://doi.org/10.1016/j.neucom.2020年07月06日1`
	`81`	`+L. Yang and A. Shami, "On hyperparameter optimization of machine learning algorithms: Theory and practice," Neurocomputing, vol. 415, pp. 295–316, 2020, doi: https://doi.org/10.1016/j.neucom.2020年07月06日1.`
`83`	`82`
`84`	`83`	```
`85`		`-@article{YANG2020,`
`86`		`-title = "On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice",`
	`84`	`+@article{YANG2020295,`
	`85`	`+title = "On hyperparameter optimization of machine learning algorithms: Theory and practice",`
`87`	`86`	`author = "Li Yang and Abdallah Shami",`
	`87`	`+volume = "415",`
	`88`	`+pages = "295 - 316",`
`88`	`89`	`journal = "Neurocomputing",`
`89`	`90`	`year = "2020",`
`90`	`91`	`issn = "0925-2312",`
`91`		`-doi = "https://doi.org/10.1016/j.neucom.2020年07月06日1"`
	`92`	`+doi = "https://doi.org/10.1016/j.neucom.2020年07月06日1",`
	`93`	`+url = "http://www.sciencedirect.com/science/article/pii/S0925231220311693"`
`92`	`94`	`}`
`93`	`95`	```

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