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PKDD
2009
Springer
196views Data Mining» more  PKDD 2009»
14 years 2 months ago
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...
Kun Zhang, Aapo Hyvärinen
UAI
2004
13 years 9 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
CVPR
2004
IEEE
14 years 9 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black
ISMIR
2005
Springer
169views Music» more  ISMIR 2005»
14 years 1 months ago
Toward Automated Holistic Beat Tracking, Music Analysis and Understanding
Most music processing attempts to focus on one particular feature or structural element such as pitch, beat location, tempo, or genre. This hierarchical approach, in which music i...
Roger B. Dannenberg
IJWBC
2007
137views more  IJWBC 2007»
13 years 7 months ago
Identifying communities in blogs: roles for social network analysis and survey instruments
: We examine the problem of identifying, measuring and evaluating communities in blogs. In our approach, we use sense of community (McMillan and Chavis, 1986) and centrality measur...
Alvin Chin, Mark H. Chignell