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» Distributed Innovation in Classes of Networks
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INFOCOM
2011
IEEE
12 years 11 months ago
Heterogeneity increases multicast capacity in clustered network
—In this paper, we investigate the multicast capacity for static network with heterogeneous clusters. We study the effect of heterogeneities on the achievable capacity from two a...
Qiuyu Peng, Xinbing Wang, Huan Tang
CJ
2008
108views more  CJ 2008»
13 years 8 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen
JMLR
2006
118views more  JMLR 2006»
13 years 7 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
IWCMC
2006
ACM
14 years 1 months ago
A heuristics based approach for cellular mobile network planning
Designing and planning of the switching, signaling and support network is a fairly complex process in cellular mobile network. In this paper, the problem of assigning cells to swi...
Marwan H. Abu-Amara, Sadiq M. Sait, Abdul Subhan
ECML
2003
Springer
14 years 1 months ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki