922 search results - page 34 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
NIPS
2007
13 years 8 months ago
2007
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
INFORMATICALT
2008
13 years 7 months ago
2008
Abstract. The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision ...
SIGIR
2003
ACM
14 years 18 days ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...