922 search results - page 79 / 185 » Learning Gaussian Process Models from Uncertain Data |
135
Voted
IROS
2008
IEEE
15 years 9 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
154
click to vote
ICMCS
2008
IEEE
15 years 9 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
115
click to vote
AAAI
2000
15 years 3 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
140
click to vote
ICDE
2011
IEEE
14 years 6 months ago
2011
IEEE
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
102
click to vote
JMLR
2010
14 years 9 months ago
2010
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...