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ICML
2007
IEEE
14 years 6 months ago
Unsupervised estimation for noisy-channel models
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
Markos Mylonakis, Khalil Sima'an, Rebecca Hwa
CSL
2012
Springer
12 years 1 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
CDC
2009
IEEE
131views Control Systems» more  CDC 2009»
13 years 9 months ago
Further results on plant parameter identification using continuous-time multiple-model adaptive estimators
This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
Vahid Hassani, A. Pedro Aguiar, António Man...
CEC
2010
IEEE
13 years 25 days ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
ICRA
2009
IEEE
108views Robotics» more  ICRA 2009»
14 years 14 days ago
Local decomposition and observability properties for automatic calibration in mobile robotics
Abstract— This paper considers the problem of sensor selfcalibration in mobile robotics by only using a single point feature (e.g. a source of light). In particular, the problem ...
Agostino Martinelli