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» Learning the Structure of Dynamic Probabilistic Networks
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NN
2002
Springer
115views Neural Networks» more  NN 2002»
14 years 9 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
IOR
2007
82views more  IOR 2007»
14 years 9 months ago
Compensating for Failures with Flexible Servers
We consider the problem of maximizing capacity in a queueing network with flexible servers, where the classes and servers are subject to failure. We assume that the interarrival ...
Sigrún Andradóttir, Hayriye Ayhan, D...
BMCBI
2011
14 years 1 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
TON
2010
188views more  TON 2010»
14 years 4 months ago
Self-Chord: A Bio-Inspired P2P Framework for Self-Organizing Distributed Systems
This paper presents "Self-Chord," a peer-to-peer (P2P) system that inherits the ability of Chord-like structured systems for the construction and maintenance of an overla...
Agostino Forestiero, Emilio Leonardi, Carlo Mastro...
CHI
2006
ACM
15 years 10 months ago
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
Kazuhiro Otsuka, Junji Yamato, Yoshinao Takemae, H...