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ACL
2007
15 years 8 months ago
Forest-to-String Statistical Translation Rules
In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forestto-string rule is capable of capturing nonsyntactic ...
Yang Liu, Yun Huang, Qun Liu, Shouxun Lin
HCI
2007
15 years 8 months ago
Learning Topologies of Situated Public Displays by Observing Implicit User Interactions
In this paper we present a procedure to learn a topological model of Situated Public Displays from data of people traveling between these displays. This model encompasses the dista...
Hans Jörg Müller, Antonio Krüger
UAI
2001
15 years 8 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
WSC
2004
15 years 8 months ago
Simulating Availability Outlook for E-Commerce Business of Personal Computer Sales
For newly designed or transformed business processes, accurately predicting business performances such as costs and customer services before actual deployment is very important. W...
Young M. Lee
ICANN
2010
Springer
15 years 8 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis