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TCBB
2011
15 years 1 months ago
Learning Genetic Regulatory Network Connectivity from Time Series Data
Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate th...
Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
TCOM
2011
129views more  TCOM 2011»
15 years 1 months ago
On the Capacity of WDM Passive Optical Networks
—To lower costs, WDM PONs may share the usage of wavelengths, transmitters, and receivers among ONUs, instead of dedicating the transmission between OLT and each ONU with one ind...
Jingjing Zhang, Nirwan Ansari
JMLR
2010
102views more  JMLR 2010»
15 years 28 days ago
Efficient Algorithms for Conditional Independence Inference
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindn...
JMLR
2010
134views more  JMLR 2010»
15 years 28 days ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
TSP
2010
15 years 24 days ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero