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» Inference and Learning in Networks of Queues
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IMC
2003
ACM
14 years 27 days ago
On inferring and characterizing internet routing policies
Border Gateway Protocol allows Autonomous Systems (ASs) to apply diverse routing policies for selecting routes and for propagating reachability information to other ASs. Although ...
Feng Wang, Lixin Gao
GRC
2010
IEEE
13 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
ICML
2008
IEEE
14 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
IMC
2005
ACM
14 years 1 months ago
Inferring and Debugging Path MTU Discovery Failures
If a host can send packets larger than an Internet path can forward, it relies on the timely delivery of Internet Control Message Protocol (ICMP) messages advising that the packet...
Matthew J. Luckie, Kenjiro Cho, Bill Owens
JMLR
2010
202views more  JMLR 2010»
13 years 2 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...