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» Neural networks: Algorithms and applications
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CIKM
2009
Springer
16 years 1 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
SIGCOMM
2006
ACM
16 years 28 days ago
Building an AS-topology model that captures route diversity
An understanding of the topological structure of the Internet is needed for quite a number of networking tasks, e.g., making decisions about peering relationships, choice of upstr...
Wolfgang Mühlbauer, Anja Feldmann, Olaf Maenn...
MASCOTS
2003
15 years 8 months ago
Minimizing Packet Loss by Optimizing OSPF Weights Using Online Simulation
In this paper, we present a scheme for minimizing packet loss in OSPF networks by optimizing link weights using Online Simulation. We have chosen packet loss rate in the network a...
Hema Tahilramani Kaur, Tao Ye, Shivkumar Kalyanara...
CCR
2004
91views more  CCR 2004»
15 years 6 months ago
New techniques for making transport protocols robust to corruption-based loss
Current congestion control algorithms treat packet loss as an indication of network congestion, under the assumption that most losses are caused by router queues overflowing. In r...
Wesley M. Eddy, Shawn Ostermann, Mark Allman
296
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IPSN
2011
Springer
14 years 10 months ago
Duty-cycling buildings aggressively: The next frontier in HVAC control
Buildings are known to be the largest consumers of electricity in the United States, and often times the dominant energy consumer is the HVAC system. Despite this fact, in most bu...
Yuvraj Agarwal, Bharathan Balaji, Seemanta Dutta, ...