We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
abstraction for modeling these problems is to view the Web as a collection of (usually small and heterogeneous) databases, and to view programs that extract and process Web data au...
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
requirement. Furthermore, programming using sequence constructs normally produce nested structures and The current approachfor modeling synchronization in scattered code, especiall...