Selecting Near-Optimal Learners via Incremental Data Allocation

Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

We study a novel machine learning (ML) problem setting of sequentially allocating small subsets of training data amongst a large set of classifiers. The goal is to select a classif…