Reviews: Active Learning for Non-Parametric Regression Using Purely Random Trees

Yet, I still think that their results (including those appearing in their response) are not showing significant gains as seen in other Active Learning settings. The paper addresses the problem of active learning for regression with random trees. The authors introduce a simple'oracle' algorithm and a risk variance is provided for this criterion. Authors provide a risk minimizing query criteria and claim it is better than the random selection criterion An estimation algorithm is presented that provides the necessary statistics at its first stage to allow an approximation to the'oracle' algorithm. Numerical results are presented in which improved performance over random and uncertainty sample is provided for simulated data, and no improvement for real UCI data.