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UAI
2003
15 years 6 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
15 years 3 months ago
Towards Community Discovery in Signed Collaborative Interaction Networks
Abstract--We propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic...
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Sing...
129
Voted
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
15 years 11 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
KDD
2012
ACM
242views Data Mining» more  KDD 2012»
13 years 7 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
POPL
2002
ACM
16 years 5 months ago
Role analysis
We present a new role system in which the type (or role) of each object depends on its referencing relationships with other objects, with the role changing as these relationships ...
Viktor Kuncak, Patrick Lam, Martin C. Rinard