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BMCBI
2007
154views more  BMCBI 2007»
14 years 10 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
BMCBI
2007
164views more  BMCBI 2007»
14 years 10 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
CGF
2007
156views more  CGF 2007»
14 years 10 months ago
Automatic Light Source Placement for Maximum Visual Information Recovery
The automatic selection of good viewing parameters is a very complex problem. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an int...
Pere-Pau Vázquez
COMCOM
2007
136views more  COMCOM 2007»
14 years 10 months ago
Demand-scalable geographic multicasting in wireless sensor networks
In this paper, we focus on the challenge of demand-scalable multicast routing in wireless sensor networks. Due to the ad-hoc nature of the placement of the sensor nodes as well as...
Shibo Wu, K. Selçuk Candan
JAIR
2008
135views more  JAIR 2008»
14 years 10 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...