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NIPS
2008
15 years 5 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence
NIPS
2008
15 years 5 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
CORR
2010
Springer
137views Education» more  CORR 2010»
15 years 4 months ago
Local algorithms in (weakly) coloured graphs
A local algorithm is a distributed algorithm that completes after a constant number of synchronous communication rounds. We present local approximation algorithms for the minimum ...
Matti Åstrand, Valentin Polishchuk, Joel Ryb...
RTSS
1992
IEEE
15 years 8 months ago
Allocation of periodic task modules with precedence and deadline constraints in distributed real-time systems
This paper addresses the problem of allocating (assigning and scheduling) periodic task modules to processing nodes in distributed real-time systems subject to task precedence and ...
Chao-Ju Hou, Kang G. Shin
INFOCOM
2009
IEEE
15 years 11 months ago
LayerP2P: A New Data Scheduling Approach for Layered Streaming in Heterogeneous Networks
—Although layered streaming in heterogeneous peer-to-peer networks has drawn great interest in recent years, there’s still a lack of systematical studies on its data scheduling...
Xin Xiao, Yuanchun Shi, Yuan Gao, Qian Zhang