922 search results - page 73 / 185 » Learning Gaussian Process Models from Uncertain Data |
206
click to vote
EDM
2009
15 years 7 days ago
2009
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
144
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
151
click to vote
TMI
2010
14 years 9 months ago
2010
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
127
click to vote
WAPCV
2007
Springer
15 years 8 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
154
click to vote
ESANN
2007
15 years 3 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...