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» An algorithmic framework for network reconstruction
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134
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JMLR
2008
94views more  JMLR 2008»
15 years 3 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
155
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BMCBI
2007
103views more  BMCBI 2007»
15 years 3 months ago
Dynamic simulation of regulatory networks using SQUAD
Background: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncove...
Alessandro Di Cara, Abhishek Garg, Giovanni De Mic...
132
Voted
CVPR
2003
IEEE
16 years 5 months ago
Using Many Cameras as One
We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar [13]. We derive the discrete structure from motion equations for...
Robert Pless
116
Voted
P2P
2006
IEEE
15 years 9 months ago
Cost-Based Analysis of Hierarchical DHT Design
Flat DHT architectures have been the main focus of the research on DHT design so far. However, there have been also a number of works proposing hierarchical DHT organizations and ...
Stefan Zöls, Zoran Despotovic, Wolfgang Kelle...
127
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CDC
2009
IEEE
151views Control Systems» more  CDC 2009»
15 years 8 months ago
Shortest path optimization under limited information
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
Michael Rinehart, Munther A. Dahleh