279 search results - page 4 / 56 » Gaussian processes with monotonicity information |
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
This paper shows a scheme for incremental evaluation of XPath queries. Here, we focus on a monotone fragment of XPath, i.e., when a data is deleted from (or inserted to) the datab...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...