161 search results - page 19 / 33 » On Aggregating Teams of Learning Machines |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregati...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
ECTEL
2007
Springer
14 years 2 months ago
2007
Springer
The paper aims at illustrating the original technical solution provided within an academic institute in order to manage teaching activities, encompassing the coordination of projec...