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AAAI
2011
12 years 7 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 11 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ICPR
2008
IEEE
14 years 8 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
HPCA
2001
IEEE
14 years 8 months ago
Self-Tuned Congestion Control for Multiprocessor Networks
Network performance in tightly-coupled multiprocessors typically degrades rapidly beyond network saturation. Consequently, designers must keep a network below its saturation point...
Mithuna Thottethodi, Alvin R. Lebeck, Shubhendu S....
TWC
2010
13 years 2 months ago
On the Impact of Channel Estimation Errors on MAC Protocols for MIMO Ad Hoc Networks
In this paper, we evaluate the performance of a Medium Access Control (MAC) protocol for MIMO ad hoc networks under imperfect channel estimation. To this end, we also present an an...
Davide Chiarotto, Paolo Casari, Michele Zorzi