State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
Abstract. Schema mappings play a central role in both data integration and data exchange, and are understood as high-level specifications describing the relationships between data...
We propose a novel method for Japanese dependency analysis, which is usually reduced to the construction of a dependency tree. In deterministic approaches to this task, dependency...
This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
— Location Dependent Information Services (LDISs) are gaining increasing popularity in recent years, and due to limited client power and intermittent connectivity, caching is an ...