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
Chicago Style (17th ed.) CitationGu, Yingxin, Bruce Wylie, Stephen Boyte, Joshua Picotte, Daniel Howard, Kelcy Smith, and 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.
MLA (9th ed.) CitationGu, 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.