2518 search results - page 90 / 504 » Machine learning in sedimentation modelling |
ICALT
2006
IEEE
14 years 4 months ago
2006
IEEE
This paper describes an approach for modeling and implementing a collaborative learning situation, which is part of a real lifelong learning scenario in astronomy. We adopt and sl...
COLT
1999
Springer
14 years 2 months ago
1999
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 ...
ICANN
2003
Springer
14 years 3 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
IJAIT
2007
13 years 10 months ago
2007
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...