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» Improving on Expectation Propagation
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JACM
2010
111views more  JACM 2010»
13 years 7 months ago
Finding a maximum matching in a sparse random graph in O(n) expected time
We present a linear expected time algorithm for finding maximum cardinality matchings in sparse random graphs. This is optimal and improves on previous results by a logarithmic f...
Prasad Chebolu, Alan M. Frieze, Páll Melste...
ICDE
2005
IEEE
101views Database» more  ICDE 2005»
14 years 10 months ago
DUP: Dynamic-tree Based Update Propagation in Peer-to-Peer
In peer-to-peer networks, indices are used to map data to nodes that host the data. The performance of data access can be improved by actively pushing indices to interested nodes....
Liangzhong Yin, Guohong Cao
ECSQARU
1999
Springer
14 years 27 days ago
An Alternative to Outward Propagation for Dempster-Shafer Belief Functions
Abstract. Given several Dempster-Shafer belief functions, the framework of valuation networks describes an efficient method for computing the marginal of the combined belief functi...
Norbert Lehmann, Rolf Haenni
ICDE
2007
IEEE
124views Database» more  ICDE 2007»
14 years 10 months ago
On MBR Approximation of Histories for Historical Queries: Expectations and Limitations
Traditional approaches for efficiently processing historical queries, where a history is a multidimensional timeseries, employ a two step filter-and-refine scheme. In the filter s...
Reza Sherkat, Davood Rafiei
ICAI
2009
13 years 6 months ago
Expectancy-Based Robot Localization Through Context Evaluation
Agents that operate in a real-world environment have to process an abundance of information, which may be ambiguous or noisy. We present a method inspired by cognitive research tha...
Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, T...