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» Near-Deterministic Inference of AS Relationships
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BMCBI
2008
166views more  BMCBI 2008»
14 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
IMC
2007
ACM
15 years 7 days ago
Acyclic type-of-relationship problems on the internet: an experimental analysis
An experimental study of the feasibility and accuracy of the acyclicity approach introduced in [14] for the inference of business relationships among autonomous systems (ASes) is ...
Benjamin Hummel, Sven Kosub
AIME
2005
Springer
15 years 20 days 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
PAMI
2010
174views more  PAMI 2010»
14 years 9 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
CORR
2010
Springer
165views Education» more  CORR 2010»
14 years 10 months ago
Cut-Elimination and Proof Search for Bi-Intuitionistic Tense Logic
We consider an extension of bi-intuitionistic logic with the traditional modalities , , and from tense logic Kt. Proof theoretically, this extension is obtained simply by extendin...
Rajeev Goré, Linda Postniece, Alwen Tiu