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» Measuring independence of datasets
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99
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NSDI
2007
15 years 3 months ago
Mutually Controlled Routing with Independent ISPs
Abstract – We present Wiser, an Internet routing protocol that enables ISPs to jointly control routing in a way that produces efficient end-to-end paths even when they act in th...
Ratul Mahajan, David Wetherall, Thomas E. Anderson
106
Voted
TASLP
2008
158views more  TASLP 2008»
15 years 18 days ago
Score-Independent Audio Features for Description of Music Expression
Abstract--During a music performance, the musician adds expressiveness to the musical message by changing timing, dynamics, and timbre of the musical events to communicate an expre...
Luca Mion, Giovanni De Poli
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 23 days ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
NIPS
2008
15 years 2 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour
86
Voted
ADVCS
2008
83views more  ADVCS 2008»
14 years 11 months ago
Information Flows in Causal Networks
We introduce a notion of causal independence based on virtual intervention, which is a fundamental concept of the theory of causal networks. Causal independence allows for de ning ...
Nihat Ay, Daniel Polani