55 search results - page 1 / 11 » Supervised Learning by Training on Aggregate Outputs |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a novel approach for structure prediction that addresses the difficulty of obtaining labeled structures for training. We observe that structured output problems often h...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...