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» On Structural Analysis of Large Networks
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UAI
1997
15 years 8 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
CORR
2010
Springer
166views Education» more  CORR 2010»
15 years 6 months ago
Bandwidth Modeling and Estimation in Peer to Peer Networks
Recent studies have shown that the majority of today's internet traffic is related to Peer to Peer (P2P) traffic. The study of bandwidth in P2P networks is very important. Bec...
Kiarash Mizanian, Mehdi Vasef, Morteza Analoui
IJCAI
2003
15 years 8 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
EDBT
2006
ACM
106views Database» more  EDBT 2006»
16 years 6 months ago
DPTree: A Distributed Pattern Tree Index for Partial-Match Queries in Peer-to-Peer Networks
Abstract. Partial-match queries return data items that contain a subset of the query keywords and order the results based on the statistical properties of the matched keywords. The...
Dyce Jing Zhao, Dik Lun Lee, Qiong Luo
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
15 years 11 months ago
Information dissemination in networks via linear iterative strategies over finite fields
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Shreyas Sundaram, Christoforos N. Hadjicostis