2918 search results - page 172 / 584 » Learning qualitative models from numerical data |
BMCBI
2006
13 years 9 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
JMLR
2010
13 years 4 months ago
2010
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
JUCS
2008
13 years 9 months ago
2008
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
COLT
2010
Springer
13 years 7 months ago
2010
Springer
We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of poss...
ICANN
2003
Springer
14 years 2 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...