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ISBI
2009
IEEE
15 years 10 months ago
Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
Wei Xu, Klaus Mueller
ICML
2009
IEEE
15 years 10 months ago
Online learning by ellipsoid method
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...
Liu Yang, Rong Jin, Jieping Ye
107
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EVOW
2009
Springer
15 years 10 months ago
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
In a recent paper an algorithm for solving MAX-SAT was proposed which worked by clustering good solutions and restarting the search from the closest feasible solutions. This was sh...
Mohamed Qasem, Adam Prügel-Bennett
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 10 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
HPDC
2008
IEEE
15 years 10 months ago
Scheduling mixed-parallel applications with advance reservations
This paper investigates the scheduling of mixed-parallel applications, which exhibit both task and data parallelism, in advance reservations settings. Both the problem of minimizi...
Kento Aida, Henri Casanova