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ICML
2004
IEEE
15 years 10 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
ICDCS
2009
IEEE
15 years 7 months ago
On the Utility of Inference Mechanisms
A number of network path delay, loss, or bandwidth inference mechanisms have been proposed over the past decade. Concurrently, several network measurement services have been deplo...
Ethan Blanton, Sonia Fahmy, Greg N. Frederickson
MIDDLEWARE
2007
Springer
15 years 4 months ago
Securing peer-to-peer media streaming systems from selfish and malicious behavior
We present a flexible framework for throttling attackers in peerto-peer media streaming systems. In such systems, selfish nodes (e.g., free riders) and malicious nodes (e.g., DoS ...
William Conner, Klara Nahrstedt
IPPS
2006
IEEE
15 years 3 months ago
Solving generic role assignment exactly
role assignment is a programming abstraction that supports the assignment of user-defined roles to sensor nodes such that certain conditions are met. Many common network configu...
Christian Frank, Kay Römer
ICML
2008
IEEE
15 years 10 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang