Kerri Barnes

Importance sampling of delta-AUC: A basis for active learning for improved keyword search

We present an importance sampling based approach to the active learning problem of selecting additional training data to supplement a seed model. Our proposed Δ-AUC selection optimizes AUC improvement in keyword search and is evaluated on the Spanish Fisher corpus. We show that over different traini…