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» On General Laws of Complex Networks
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UAI
2008
15 years 5 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
JPDC
2006
94views more  JPDC 2006»
15 years 4 months ago
Exchanging messages of different sizes
This paper deals with the study of the exchange of messages among a set of processors linked through an interconnection network. We focus on general, non-uniform versions of messa...
Alfredo Goldman, Joseph G. Peters, Denis Trystram

Publication
303views
14 years 2 months ago
Evolutionary synthesis of analog networks
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Claudio Mattiussi
MDM
2007
Springer
148views Communications» more  MDM 2007»
15 years 10 months ago
Enforcing Data Integrity in Very Large Ad Hoc Networks
Ad hoc networks rely on nodes forwarding each other’s packets, making trust and cooperation key issues for ensuring network performance. As long as all nodes in the network belo...
Daniela Gavidia, Maarten van Steen
ICOIN
2003
Springer
15 years 9 months ago
Do Not Trust All Simulation Studies of Telecommunication Networks
Since the birth of ARPANET and the first commercial applications of computer networks, through explosion of popularity of the Internet and wireless communications, we have witnes...
Krzysztof Pawlikowski