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TROB
2008
113views more  TROB 2008»
15 years 1 months ago
Occam's Razor Applied to Network Topology Inference
We present a method for inferring the topology of a sensor network given nondiscriminating observations of activity in the monitored region. This is accomplished based on no prior ...
Dimitri Marinakis, Gregory Dudek
JMLR
2010
202views more  JMLR 2010»
14 years 8 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
SIGMOD
2006
ACM
123views Database» more  SIGMOD 2006»
16 years 1 months ago
Proactive identification of performance problems
We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. ...
Songyun Duan, Shivnath Babu
BMCBI
2005
88views more  BMCBI 2005»
15 years 1 months ago
Using large-scale perturbations in gene network reconstruction
Background: Recent analysis of the yeast gene network shows that most genes have few inputs, indicating that enumerative gene reconstruction methods are both useful and computatio...
Thomas MacCarthy, Andrew Pomiankowski, Robert Seym...
RECOMB
2003
Springer
16 years 1 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson