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UAI
2008
15 years 3 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
15 years 2 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
137
Voted
IV
2010
IEEE
170views Visualization» more  IV 2010»
15 years 19 days 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»
15 years 2 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»
15 years 23 days 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...