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157
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ICML
2007
IEEE
16 years 4 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...
PODS
2005
ACM
124views Database» more  PODS 2005»
16 years 3 months ago
Diagnosis of asynchronous discrete event systems: datalog to the rescue!
We consider query optimization techniques for data intensive P2P applications. We show how to adapt an old technique from deductive databases, namely Query-Sub-Query (QSQ), to a s...
Serge Abiteboul, Stefan Haar, Tova Milo, Zoë ...
117
Voted
CCGRID
2009
IEEE
15 years 10 months ago
Self-Chord: A Bio-inspired Algorithm for Structured P2P Systems
This paper presents “Self-Chord”, a bio-inspired P2P algorithm that can be profitably adopted to build the information service of distributed systems, in particular Computati...
Agostino Forestiero, Carlo Mastroianni, Michela Me...
MODELS
2009
Springer
15 years 10 months ago
An Incremental Algorithm for High-Performance Runtime Model Consistency
We present a novel technique for applying two-level runtime models to distributed systems. Our approach uses graph rewriting rules to transform a high-level source model into one o...
Christopher Wolfe, T. C. Nicholas Graham, W. Greg ...
107
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GLOBECOM
2008
IEEE
15 years 10 months ago
Understanding P2P-TV Systems Through Real Measurements
—In this paper, we consider two popular peer-to-peer TV (P2P-TV) systems: PPLive, one of the today most widely used P2P-TV systems, and Joost, a promising new generation applicat...
Delia Ciullo, Marco Mellia, Michela Meo, Emilio Le...