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» Connections in Networks: A Hybrid Approach
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
MOBIHOC
2006
ACM
14 years 8 months ago
Performance analysis of mobility-assisted routing
Traditionally, ad hoc networks have been viewed as a connected graph over which end-to-end routing paths had to be established. Mobility was considered a necessary evil that inval...
Thrasyvoulos Spyropoulos, Konstantinos Psounis, Ca...
MICRO
2008
IEEE
131views Hardware» more  MICRO 2008»
14 years 3 months ago
Token flow control
As companies move towards many-core chips, an efficient onchip communication fabric to connect these cores assumes critical importance. To address limitations to wire delay scala...
Amit Kumar 0002, Li-Shiuan Peh, Niraj K. Jha
IMC
2006
ACM
14 years 2 months ago
Touring the internet in a TCP sidecar
An accurate router-level topology of the Internet would benefit many research areas, including network diagnosis, inter-domain traffic engineering, and overlay construction. We ...
Rob Sherwood, Neil Spring
ISCA
2008
IEEE
119views Hardware» more  ISCA 2008»
13 years 8 months ago
Technology-Driven, Highly-Scalable Dragonfly Topology
Evolving technology and increasing pin-bandwidth motivate the use of high-radix routers to reduce the diameter, latency, and cost of interconnection networks. High-radix networks,...
John Kim, William J. Dally, Steve Scott, Dennis Ab...