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» Structural Inference of Hierarchies in Networks
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ICANN
2010
Springer
15 years 2 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
SOSP
2009
ACM
15 years 10 months ago
The multikernel: a new OS architecture for scalable multicore systems
Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instructio...
Andrew Baumann, Paul Barham, Pierre-Évarist...
INFOCOM
2009
IEEE
15 years 8 months ago
Searching for Stability in Interdomain Routing
—The Border Gateway Protocol (BGP) handles the task of establishing routes between the Autonomous Systems (ASes) that make up the Internet. It is known that it is possible for a ...
Rahul Sami, Michael Schapira, Aviv Zohar
SENSYS
2005
ACM
15 years 7 months ago
TSAR: a two tier sensor storage architecture using interval skip graphs
Archival storage of sensor data is necessary for applications that query, mine, and analyze such data for interesting features and trends. We argue that existing storage systems a...
Peter Desnoyers, Deepak Ganesan, Prashant J. Sheno...
AMAI
2004
Springer
15 years 6 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian