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UAI
2008
13 years 9 months ago
Explanation Trees for Causal Bayesian Networks
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
Ulf H. Nielsen, Jean-Philippe Pellet, André...
TCS
2008
13 years 7 months ago
A note on the problem of reporting maximal cliques
Reporting the maximal cliques of a graph is a fundamental problem arising in many areas. This note bridges the gap between three papers addressing this problem: the original paper...
Frédéric Cazals, Chinmay Karande
IV
2010
IEEE
170views Visualization» more  IV 2010»
13 years 6 months ago
A Visualization Technique for Access Patterns and Link Structures of Web Sites
There have been two types of Web visualization techniques: visualization of Web sites themselves based on such as link structures or lexical contents, and visualization of browser...
Makiko Kawamoto, Takayuki Itoh
FUIN
2008
98views more  FUIN 2008»
13 years 8 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 6 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...