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» Analysing Randomized Distributed Algorithms
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JCP
2007
148views more  JCP 2007»
14 years 9 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
CLUSTER
2002
IEEE
14 years 9 months ago
Online Prediction of the Running Time of Tasks
Abstract. We describe and evaluate the Running Time Advisor (RTA), a system that can predict the running time of a compute-bound task on a typical shared, unreserved commodity host...
Peter A. Dinda
IJON
2010
189views more  IJON 2010»
14 years 8 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 8 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
ICDCS
2008
IEEE
15 years 4 months ago
Correlation-Aware Object Placement for Multi-Object Operations
A multi-object operation incurs communication or synchronization overhead when the requested objects are distributed over different nodes. The object pair correlations (the probab...
Ming Zhong, Kai Shen, Joel I. Seiferas