Article Versions Notes

Gu Y, Wylie BK, Boyte SP, Picotte J, Howard DM, Smith K, Nelson KJ. An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data. Remote Sensing. 2016; 8(11):943. https://doi.org/10.3390/rs8110943

Gu, Yingxin, Bruce K. Wylie, Stephen P. Boyte, Joshua Picotte, Daniel M. Howard, Kelcy Smith, and Kurtis J. Nelson. 2016. "An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data" Remote Sensing 8, no. 11: 943. https://doi.org/10.3390/rs8110943

Gu, Y., Wylie, B. K., Boyte, S. P., Picotte, J., Howard, D. M., Smith, K., & Nelson, K. J. (2016). An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data. Remote Sensing, 8(11), 943. https://doi.org/10.3390/rs8110943