765 search results - page 18 / 153 » Learning from Multiple Annotators with Gaussian Processes |
JMLR
2010
13 years 1 months ago
2010
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
ECAI
2008
Springer
13 years 8 months ago
2008
Springer
The purpose of this paper is to provide a solution which allows automatic reasoning processes over Moodle activities logs, in order to obtain user-personalized recommendations. Act...
UAI
2008
13 years 8 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
MICAI
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...