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» From Distributed Objects to Hierarchical Grid Components
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ICML
2007
IEEE
14 years 9 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
COOPIS
2002
IEEE
14 years 1 months ago
Runtime Performance Modeling and Measurement of Adaptive Distributed Object Applications
Distributed applications that can adapt at runtime to changing quality of service (QoS) require a model of the expected QoS and of the possible application adaptations. QoS models ...
John A. Zinky, Joseph P. Loyall, Richard Shapiro
ESCIENCE
2005
IEEE
14 years 2 months ago
A Peer-to-Peer Extension of Network-Enabled Server Systems
DIET (Distributed Interactive Engineering Toolbox) is a set of hierarchical components to design Network Enabled Server (NES) systems. In these systems, clients ask to agents (dis...
Eddy Caron, Frederic Desprez, Cédric Tedesc...
CVPR
2007
IEEE
14 years 11 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
GRID
2006
Springer
13 years 8 months ago
The Palantir Grid Meta-Information System
Grids allow large scale resource-sharing across different administrative domains. Those diverse resources are likely to join or quit the Grid at any moment or possibly to break dow...
Francesc Guim, Ivan Rodero, M. Tomas, Julita Corba...