Gu, Y., Wylie, B., Boyte, S., Picotte, J., Howard, D., Smith, K., & Nelson, K. (2016). An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data. Remote sensing (Basel, Switzerland), 8(11), 943. https://doi.org/10.3390/rs8110943
Citácia podle Chicago (17th ed.)Gu, Yingxin, Bruce Wylie, Stephen Boyte, Joshua Picotte, Daniel Howard, Kelcy Smith, a Kurtis Nelson. "An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data." Remote Sensing (Basel, Switzerland) 8, no. 11 (2016): 943. https://doi.org/10.3390/rs8110943.
Citácia podľa MLA (8th ed.)Gu, Yingxin, et al. "An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data." Remote Sensing (Basel, Switzerland), vol. 8, no. 11, 2016, p. 943, https://doi.org/10.3390/rs8110943.