This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
The Temporal Coding Hypothesis of Miller and colleagues [7] suggests that animals integrate related temporal patterns of stimuli into single memory representations. We formalize t...
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
A number of recent developments in software engineering -- from agile methods to aspect-oriented programming to design patterns to good enough software -- share a number of common...
The purpose of the Distributed Management Framework (DMF) is to provide a layer of ion at a level convenient for management application developers. Specifically, it liberates the ...