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TVCG
2011
100views more  TVCG 2011»
13 years 5 months ago
Tugging Graphs Faster: Efficiently Modifying Path-Preserving Hierarchies for Browsing Paths
—Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place t...
Daniel Archambault, Tamara Munzner, David Auber
IEEEVAST
2010
13 years 5 months ago
An exploratory study of co-located collaborative visual analytics around a tabletop display
Co-located collaboration can be extremely valuable during complex visual analytics tasks. This paper presents an exploratory study of a system designed to support collaborative vi...
Petra Isenberg, Danyel Fisher, Meredith Ringel Mor...
JMLR
2010
202views more  JMLR 2010»
13 years 5 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
MKTSCI
2010
140views more  MKTSCI 2010»
13 years 5 months ago
Demand Estimation with Social Interactions and the Implications for Targeted Marketing
The role that social interactions play in the purchase decisions of consumers is of growing interest to marketers. Consumers' decisions not only depend on information they re...
Wesley R. Hartmann
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 5 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer