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» On Computation and Communication with Small Bias
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UAI
2008
13 years 10 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
CHI
2005
ACM
14 years 9 months ago
Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses
In studies of virtual teams, it is difficult to determine pure effects of geographic isolation and uneven communication technology. We developed a multi-agent computer model in Ne...
Ning Nan, Erik W. Johnston, Judith S. Olson, Natha...
ICPADS
2005
IEEE
14 years 2 months ago
A Hint-Based Probabilistic Protocol for Unicast Communications in MANETs
Point-to-point transmissions represent a fundamental primitive in any communication network. Despite many proave appeared in the literature, providing an efficient implementation ...
Roberto Beraldi, Leonardo Querzoni, Roberto Baldon...
IPPS
1998
IEEE
14 years 26 days ago
Hiding Communication Latency in Data Parallel Applications
Interprocessor communication times can be a significant fraction of the overall execution time required for data parallel applications. Large communication to computation ratios o...
Vivek Garg, David E. Schimmel
ICITA
2005
IEEE
14 years 2 months ago
Specknets: New Challenges for Wireless Communication Protocols
Speckled Computing [1] is an emerging technology in which data will be sensed and processed in small (around 5X5 sq. millimeter) semiconductor grains called Specks. A dense and no...
Kai Juan Wong, D. K. Arvind