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APIN
2007
118views more  APIN 2007»
15 years 4 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
DAC
2004
ACM
16 years 5 months ago
Exploiting structure in symmetry detection for CNF
Instances of the Boolean satisfiability problem (SAT) arise in many areas of circuit design and verification. These instances are typically constructed from some human-designed ar...
Paul T. Darga, Mark H. Liffiton, Karem A. Sakallah...
MKM
2004
Springer
15 years 9 months ago
A Graph-Based Approach Towards Discerning Inherent Structures in a Digital Library of Formal Mathematics
As the amount of online formal mathematical content grows, for example through active efforts such as the Mathweb [21], MOWGLI [4], Formal Digital Library, or FDL [1], and others, ...
Lori Lorigo, Jon M. Kleinberg, Richard Eaton, Robe...
CHI
2009
ACM
15 years 2 months ago
Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches
Tag clouds have become a frequently used interaction technique in the web. Recently several approaches to present tag clouds with the tags semantically clustered have been propose...
Johann Schrammel, Michael Leitner, Manfred Tscheli...