46 search results - page 5 / 10 » Tree-structured Approximations by Expectation Propagation |
JMLR
2010
13 years 4 months ago
2010
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
CIAC
1994
Springer
14 years 1 months ago
1994
Springer
We consider the problem of maintaining a binary search tree (BST) that minimizes the average access cost needed to satisfy randomly generated requests. We analyze scenarios in whi...
CORR
2012
Springer
12 years 5 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...