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ICONIP
2009
15 years 6 days 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
ICML
2007
IEEE
16 years 3 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
COLING
2008
15 years 3 months ago
Toward a Psycholinguistically-Motivated Model of Language Processing
Psycholinguistic studies suggest a model of human language processing that 1) performs incremental interpretation of spoken utterances or written text, 2) preserves ambiguity by m...
William Schuler, Samir AbdelRahman, Tim Miller, La...
ICML
2010
IEEE
15 years 3 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
CCE
2007
15 years 2 months ago
Techno-economic modelling and cost functions of CO2 capture processes
The paper contributes to techno-economic modelling of CO2 capture process in coalfired power plants. Technological options of CO2 capture have been chosen and cost estimation rela...
Jiri Klemes, Igor Bulatov, Tim Cockerill