2898 search results - page 266 / 580 » Ensemble Methods in Machine Learning |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
ECML
2006
Springer
14 years 3 days ago
2006
Springer
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...