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» Occam's Razor Applied to Network Topology Inference
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BMCBI
2010
143views more  BMCBI 2010»
13 years 5 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
CIBCB
2007
IEEE
13 years 11 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...
INFOCOM
2006
IEEE
13 years 11 months ago
Placing Relay Nodes for Intra-Domain Path Diversity
Abstract— To increase reliability and robustness of missioncritical services in the face of routing changes, it is often desirable and beneficial to take advantage of path diver...
Meeyoung Cha, Sue B. Moon, Chong-Dae Park, Aman Sh...
SECON
2008
IEEE
13 years 11 months ago
Predictive or Oblivious: A Comparative Study of Routing Strategies for Wireless Mesh Networks under Uncertain Demand
—Traffic routing plays a critical role in determining the performance of a wireless mesh network. To investigate the best solution, existing work proposes to formulate the mesh ...
Jonathan Wellons, Liang Dai, Yuan Xue, Yi Cui
AIME
2005
Springer
13 years 7 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim