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UAI
2004
15 years 7 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
ATAL
2010
Springer
15 years 6 months ago
Avoiding the prisoner's dilemma in auction-based negotiations for highly rugged utility spaces
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...
Ivan Marsá-Maestre, Miguel A. López-...
ISMIR
2001
Springer
117views Music» more  ISMIR 2001»
15 years 11 months ago
Score Processing For MIR
The focus of this paper is on the design and use of a music score representation. The structure of the representation is discussed and illustrated with sample algorithms, includin...
Donncha Ó. Maidín
LCPC
2004
Springer
15 years 12 months ago
HiLO: High Level Optimization of FFTs
As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automa...
Nick Rizzolo, David A. Padua
IJCAI
2007
15 years 8 months ago
Online Speed Adaptation Using Supervised Learning for High-Speed, Off-Road Autonomous Driving
The mobile robotics community has traditionally addressed motion planning and navigation in terms of steering decisions. However, selecting the best speed is also important – be...
David Stavens, Gabriel Hoffmann, Sebastian Thrun