2518 search results - page 98 / 504 » Machine learning in sedimentation modelling |
DAGSTUHL
2004
13 years 11 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
ICALT
2003
IEEE
14 years 3 months ago
2003
IEEE
In this paper, we propose a framework for the design of learning activities, which follows the key idea of the “Learning-for-Use” model and adopts characteristics from the exp...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
ALT
2008
Springer
14 years 7 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
ICALT
2009
IEEE
14 years 4 months ago
2009
IEEE
A crucial challenge for improving EMLs is to provide an intuitive notation to support educational practitioners to not only understand, but also describe a large number of flexibl...