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KBS
2006
231views more  KBS 2006»
15 years 6 months ago
Predicting football results using Bayesian nets and other machine learning techniques
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
A. Joseph, Norman E. Fenton, Martin Neil
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 7 months ago
Large human communication networks: patterns and a utility-driven generator
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
RECOMB
2007
Springer
16 years 7 months ago
Beyond Galled Trees - Decomposition and Computation of Galled Networks
Reticulate networks are a type of phylogenetic network that are used to represent reticulate evolution involving hybridization, horizontal gene transfer or recombination. The simpl...
Daniel H. Huson, Tobias H. Klöpper
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
ALT
2008
Springer
16 years 3 months ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin