Before revision:  In this work , we study the effectiveness of active learning, which optimizes the orderof experiments, and meta learning, which transfers knowledge from one context to another ,  to reduce the number of experiments necessary to build a predictive model.
After revision:  In this work , we study the effectiveness of active learning, which optimizes the orderof experiments, and meta learning, which transfers knowledge from one context to another , and meta-learning, transferring knowledge between contexts, to reduce the number of experiments necessary to build a predictive model.