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» On the Complexity of Exclusion Algorithms for Optimization
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NIPS
2008
15 years 2 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
NIPS
2008
15 years 2 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
ISCAPDCS
2007
15 years 2 months ago
A rapid heuristic for scheduling non-preemptive dependent periodic tasks onto multiprocessor
We address distributed real-time applications represented by systems of non-preemptive dependent periodic tasks. This system is described by an acyclic directed graph. Because the...
Omar Kermia, Yves Sorel
WSC
2004
15 years 2 months ago
Approximating Component Selection
Simulation composability is a difficult capability to achieve due to the challenges of creating components, selecting combinations of components, and integrating the selected comp...
Michael Roy Fox, David C. Brogan, Paul F. Reynolds...
ATAL
2010
Springer
15 years 2 months ago
Honor among thieves: collusion in multi-unit auctions
We consider collusion in multi-unit auctions where the allocation and payments are determined using the VCG mechanism. We show how collusion can increase the utility of the collud...
Yoram Bachrach