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» Information Bottleneck for Gaussian Variables
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UAI
2008
14 years 11 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
TSP
2010
14 years 4 months ago
Reduced feedback schemes using random beamforming in MIMO broadcast channels
A random beamforming scheme for the Gaussian MIMO broadcast channel with channel quality feedback is investigated and extended. Considering the case where the receivers each have r...
Matthew Pugh, Bhaskar D. Rao
84
Voted
OOPSLA
2004
Springer
15 years 3 months ago
Method-level phase behavior in java workloads
Java workloads are becoming more and more prominent on various computing devices. Understanding the behavior of a Java workload which includes the interaction between the applicat...
Andy Georges, Dries Buytaert, Lieven Eeckhout, Koe...
BMCBI
2007
126views more  BMCBI 2007»
14 years 10 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
100
Voted
ICS
2003
Tsinghua U.
15 years 3 months ago
Inferential queueing and speculative push for reducing critical communication latencies
Communication latencies within critical sections constitute a major bottleneck in some classes of emerging parallel workloads. In this paper, we argue for the use of Inferentially...
Ravi Rajwar, Alain Kägi, James R. Goodman