Narrowing is a computation implemented by some declarative programming languages. Research in the last decade has produced significant results on the theory and foundation of nar...
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
We focused on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IR-based technique for answ...
Jinxi Xu, Ana Licuanan, Jonathan May, Scott Miller...
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...