Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
Developing software from models is a growing practice and there exist many model-based tools (e.g., model editors, model interpreters) for supporting model-driven engineering. Eve...
Tomaz Lukman, Marjan Mernik, Zekai Demirezen, Barr...
Recently, Wobbrock et al. (2008) derived a predictive model of pointing accuracy to complement Fitts’ law’s predictive model of pointing speed. However, their model was based ...
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...