'
AutoML의 성능개선을 위한 Hyperparameter 최적화 연구 = Research on Hyperparameter Optimization for Improving AutoML Performance' 의 주제별 논문영향력
논문영향력 요약
주제
AutoML
Bayesian Optimization
Gaussian Process
Hyperparameter 최적화
Machine Learning
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
1,404
0
0.0%
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
AutoML
20
0
0.0%
Bayesian Optimization
7
0
0.0%
Gaussian Process
10
0
0.0%
Hyperparameter 최적화
2
0
0.0%
Machine Learning
1,367
0
0.0%
계
1,406
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
'
AutoML의 성능개선을 위한 Hyperparameter 최적화 연구 = Research on Hyperparameter Optimization for Improving AutoML Performance' 의 참고문헌
[9] X. Lu, J. Gonzalez, Z. Dai, and N. Lawrence, “Structured Variationally Auto-encoded Optimization,” Proc. 35th Int’l Conf. Machine Learning, Proceedings of Machine Learning Research(PMLR), Vol. 80, Jul. 2018, pp. 3267-3275.
[4] B. Guo, J. Hu, W. Wu, Q. Peng, and F. Wu, “The Tabu Genetic Algorithm A Novel Method for Hyper-Parameter Optimization of Learning Algorithms,” Electronics, Vol. 8, No. 5, 2019, p. 579.
[39] M. H. DeGroot, and M. J. Schervish, Probability and Statistics,” Pearson Education Limited:London, UK, 2014, pp. 302–325.
[34] A. Torn and A. Zilinskas. Global Optimization, Springer-Verlag, 1989.
[33] H. J. Kushner, A new method of locating the maximum of an arbitrary multipeak curve in the presence of noise. Journal of Basic Engineering, Vol. 86, No. 1, 1964, pp. 97-106.
[25] C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2009.
[24] A. Zhigljavsky, and A. Žilinskas, Stochastic Global Optimization, Springer Optimization and Its Applications; Springer: Berlin, Germany, 2007.
[23] L. Liberti, and N. Maculan, Global Optimization: From Theory to Implementation, Springer Optimization and Its Applications; Springer: Berlin, Germany, 2006.
[21] A. Törn, and A. Žilinskas, Global Optimization, Springer-Verlag: Berlin, Germany, 1989.
[1] AutoML, Machine Learning for Automated Algorithm Design(2018), http://www.l4aad.org/automl/.
[14] D. R. Jones, M. Schonlau, and W. J. Welch, “Efficient global optimization of expensive black-box functions,” Journal of Global Optimization, Vol. 13, No. 4, Dec. 1998, pp. 455-492.
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AutoML의 성능개선을 위한 Hyperparameter 최적화 연구 = Research on Hyperparameter Optimization for Improving AutoML Performance'
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