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» Almost Optimal Intervention Sets for Causal Discovery
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UAI
2008
13 years 6 months ago
Almost Optimal Intervention Sets for Causal Discovery
We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
Frederick Eberhardt
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
A methodology for the structural and functional analysis of signaling and regulatory networks
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
Steffen Klamt, Julio Saez-Rodriguez, Jonathan A. L...
SMC
2010
IEEE
139views Control Systems» more  SMC 2010»
13 years 2 months ago
Pin-pointing concept descriptions
In this study, the task of obtaining accurate and comprehensible concept descriptions of a specific set of production instances has been investigated. The suggested method, inspire...
Cecilia Sönströd, Ulf Johansson, Henrik ...
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
14 years 5 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh