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CSL
2010
Springer
13 years 8 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
IEEECIT
2010
IEEE
13 years 6 months ago
Selective and Early Threat Detection in Large Networked Systems
—The complexity of modern networked information systems, as well as all the defense-in-depth best practices, require distributed intrusion detection architectures relying on the ...
Michele Colajanni, Mirco Marchetti, Michele Messor...
EUROPAR
2008
Springer
13 years 9 months ago
Parallel Lattice Boltzmann Flow Simulation on Emerging Multi-core Platforms
Abstract. A parallel Lattice Boltzmann Method (pLBM), which is based on hierarchical spatial decomposition, is designed to perform large-scale flow simulations. The algorithm uses ...
Liu Peng, Ken-ichi Nomura, Takehiro Oyakawa, Rajiv...
COMPSAC
2005
IEEE
14 years 1 months ago
An Empirical Performance Study for Validating a Performance Analysis Approach: PSIM
Performance analysis gains more attention in recent years by researchers who focus their study on the early software development stages to mitigate the risk of redesign as problem...
Jinchun Xia, Yujia Ge, Carl K. Chang
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...