2011/04/07 by Stanislav Minsker, Minsker, Stanislav · 1 citation
Computer Science · Mathematics · #Machine Learning and Algorithms #Algorithms and Data Compression #Statistical Methods and Inference
paper · pdf · doi:10.48550/arxiv.1104.1450
We present a new active learning algorithm based on nonparametric estimators of the regression function. Our investigation provides probabilistic bounds for the rates of convergence of the generalization error achievable by proposed method over a broad class of underlying distributions. We also prove minimax lower bounds which show that the obtained rates are almost tight.