2518 search results - page 143 / 504 » Machine learning in sedimentation modelling |
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
ICALT
2008
IEEE
14 years 4 months ago
2008
IEEE
Standardisation of learning technologies as a coordinated design activity needs legitimacy to attract the necessary support from its stakeholders. This paper identifies the need f...
ICMLA
2008
13 years 11 months ago
2008
In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as t...