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ICML
2007
IEEE
16 years 7 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 7 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 ...
CCGRID
2009
IEEE
16 years 1 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
16 years 1 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 ...
156
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GLOBECOM
2008
IEEE
16 years 1 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...