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ICONIP
2009
15 years 4 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
COLING
2010
15 years 1 months ago
Finite-state Scriptural Translation
We use robust and fast Finite-State Machines (FSMs) to solve scriptural translation problems. We describe a phonetico-morphotactic pivot UIT (universal intermediate transcription)...
M. G. Abbas Malik, Christian Boitet, Pushpak Bhatt...
SIAMNUM
2010
140views more  SIAMNUM 2010»
15 years 1 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...
SIAMNUM
2010
87views more  SIAMNUM 2010»
15 years 1 months ago
A Finite Element Method for Density Estimation with Gaussian Process Priors
Abstract. A variational problem characterizing the density estimator defined by the maximum a posteriori method with Gaussian process priors is derived. It is shown that this probl...
Michael Griebel, Markus Hegland
TAL
2010
Springer
15 years 1 months ago
Transliteration as Alignment vs. Transliteration as Generation for Crosslingual Information Retrieval
Crosslingual Information Retrieval (CLIR) usually requires query translation and, due to named entities in the case of IR, query translation requires a good transliteration system ...
Anil Kumar Singh, Sethuramalingam Subramaniam, Tar...