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» Optimal Distributed Online Prediction using Mini-Batches
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NETCOOP
2007
Springer
14 years 2 months ago
The Practical Performance of Subgradient Computational Techniques for Mesh Network Utility Optimization
In the networking research literature, the problem of network utility optimization is often converted to the dual problem which, due to nondifferentiability, is solved with a part...
Peng Wang, Stephan Bohacek
ICNP
2005
IEEE
14 years 2 months ago
Priority Pricing in Utility Fair Networks
This paper deals with a new pricing approach in utility fair networks, where the user’s application is associated with a utility function. We allow users to have concave as well...
Tobias Harks, Tobias Poschwatta
CVPR
2006
IEEE
14 years 2 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 9 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
BMCBI
2010
117views more  BMCBI 2010»
13 years 8 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski