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» Modeling expert finding as an absorbing random walk
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CVPR
2007
IEEE
14 years 9 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CSE
2009
IEEE
14 years 2 months ago
The Social Behaviors of Experts in Massive Multiplayer Online Role-Playing Games
— We examine the social behaviors of game experts in Everquest II, a popular massive multiplayer online role-playing game (MMO). We rely on Exponential Random Graph Models (ERGM)...
David Huffaker, Jing (Annie) Wang, Jeffrey William...
ENTCS
2008
120views more  ENTCS 2008»
13 years 7 months ago
Complementarity of Error Detection Techniques
We study explicit techniques for detection of safety errors, e.g., depth-first search, directed search, random walk, and bitstate hashing. We argue that it is not important to fin...
Radek Pelánek, Václav Rosecký...
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
13 years 11 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
CIKM
2008
Springer
13 years 9 months ago
Academic conference homepage understanding using constrained hierarchical conditional random fields
We address the problem of academic conference homepage understanding for the Semantic Web. This problem consists of three labeling tasks - labeling conference function pages, func...
Xin Xin, Juanzi Li, Jie Tang, Qiong Luo